Merge branch 'main' into jobs/software-engineer
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% \usepackage{date}
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% Define variables
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%% Job related
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\newcommand{\companyName}{DataAnnotation}
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\newcommand{\hiringManager}{Hiring Team}
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\newcommand{\companyAddress}{Kitchener, ON}
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\newcommand{\position}{Cloud Engineer - AI Trainer}
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%% Personal
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\newcommand{\name}{Murtadha Nisyif}
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\newcommand{\address}{Kitchener, Ontario, Canada}
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@ -18,6 +12,12 @@
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\newcommand{\phone}{+1 (519) 502-8463}
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\newcommand{\links}{\href{https://m.nisyif.com}{Website} | \href{https://www.linkedin.com/in/mnisyif}{LinkedIn} | \href{https://www.github.com/mnisyif}{GitHub}}
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%% Job related
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\newcommand{\companyName}{OCAS}
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\newcommand{\hiringManager}{Hiring Team}
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\newcommand{\companyAddress}{Guelph, Ontario, Canada}
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\newcommand{\position}{Software Developer II}
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\begin{document}
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%=============================
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% HEADER
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@ -40,28 +40,36 @@
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%=============================
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% OPENING SECTION
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%=============================
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I am writing to express my interest in the \position{} role at \companyName.
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I am a recent graduate in Computer Engineering with a background in backend development, cloud deployment, and machine learning systems.
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I have built and deployed full-stack applications and production-level services using Python, Docker, Flask, and CI/CD pipelines, and have experience working in both academic and team-based engineering environments.
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I’m eager to contribute my skills and energy to a team committed to technical excellence and innovation.
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OCAS’s dedication to reinventing higher education and creating pathways for learners resonates with my background as both a Computer Engineer and a computer science educator.
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As a dual graduate of the University of Guelph, I have a deep appreciation for the impact OCAS has on the Ontario college system.
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I am eager to apply my expertise in full-stack development, software optimization, and modern DevOps to the \position{} role, supporting the technology that helps hundreds of thousands of individuals pursue a brighter future.
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%=============================
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% MAIN BODY SECTION
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%=============================
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\vspace{1em}
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\noindent My technical experience includes training ML models, deploying microservices, and integrating code into automated testing workflows. I’ve developed a heart disease prediction app using Flask and scikit-learn, engineered full-stack projects with React and Java, and maintained a Docker-based homelab environment running CI/CD and container orchestration. Other projects include memory allocation simulators in C, car classification using CNNs, reinforcement-based dynamic noise cancellation, and an accessibility-focused Braille converter powered by Raspberry Pi.
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\noindent My technical background aligns directly with the requirements for building robust, scalable software solutions at OCAS:
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\begin{itemize}[leftmargin=1.5em, labelsep=0.5em]
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\item \textbf{Full-Stack Versatility:} I have architected multi-technology stacks combining Node.js, React, and Vue to enable real-time control and interactive user interfaces.
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\item \textbf{Software Optimization:} I developed high-efficiency pipelines using transformer models that achieved a 30x reduction in bandwidth usage and a 29\% lower latency, demonstrating my ability to tackle complex optimization challenges.
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\item \textbf{DevOps \& Infrastructure:} I have extensive experience with containerization using Docker and automating AWS infrastructure with Terraform and Jenkins, reducing manual deployment steps by 80\%.
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\item \textbf{Data Management:} I am proficient in managing diverse database systems, including PostgreSQL and SQLite, and I am prepared to leverage my strong SQL foundation within your .NET and MS SQL environment.
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\end{itemize}
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\vspace{1em}
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In addition to my programming work, I bring strong written communication skills and attention to detail. Whether writing technical documentation, explaining model decisions, or debugging tricky outputs, I enjoy breaking down complex problems and analyzing code quality. I am confident in evaluating code for correctness, performance, and clarity. I look forward to helping shape models that do the same.
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I understand the vital role that dependable technology plays in the learning journey.
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Whether it is decomposing complex project tasks or collaborating with architects to solve performance blockers, I am committed to delivering high-quality, efficient code that serves the OCAS mission.
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%=============================
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% CLOSING SECTION
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%=============================
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\vspace{1em}
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\noindent I am confident that my hands-on experience, collaborative mindset, and drive for technical excellence make me a strong fit for the \position{} role at \companyName. I am available for an interview at your convenience and would appreciate the opportunity to further discuss how I can contribute to your team. Please feel free to reach out to me at \email{} or by phone at \phone. Thank you for your time and consideration.
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\noindent I am confident that my blend of research-driven innovation and hands-on software engineering will allow me to contribute immediately to the OCAS team.
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I look forward to the possibility of discussing how my experience with optimization and full-stack development can support your upcoming project developments.
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Thank you for your time and consideration.
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\vspace{2em}
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\noindent Sincerely, \\
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% \vspace{1em}
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\noindent\name
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\end{document}
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@ -82,11 +82,11 @@
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\end{tabular*}\vspace{-7pt}
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}
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\newcommand{\resumeSubheading}[3]{
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\newcommand{\resumeSubheading}[4]{
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\vspace{-2pt}\item
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\begin{tabular*}{1.0\textwidth}[t]{l@{\extracolsep{\fill}}r}
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\textbf{\color{black} #1} & \textbf{ #2}\\
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\textit{#3} \\
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\textbf{\color{black} #1} & \textbf{ #2} \\
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\textit{#3} & \textit{ #4} \\
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\end{tabular*}\vspace{-7pt}
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}
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@ -132,91 +132,125 @@
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\vspace{-20pt}
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%-----------SUMMARY----------
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\section{\color{blue}SUMMARY}
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AI Systems Engineer with expertise intersecting machine learning optimization, real-time distributed software design, and automated deployment infrastructure. Proven track record designing custom simulation environments, benchmarking edge-hardware bottlenecks, and orchestrating containerized continuous integration pipelines to optimize system constraints
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\vspace{-7pt}
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%-----------EDUCATION-----------
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\section{\color{blue}EDUCATION}
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\resumeSubHeadingListStart
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\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{MASc. - Computer Engineering}}{Aug 2025}
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\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{Apr 2023}
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\resumeSubHeadingListEnd
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\resumeSubHeadingListStart
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\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{MASc. - Computer Engineering}}{Dec 2025}
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\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{Apr 2023}
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\resumeSubHeadingListEnd
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% \vspace{-8pt}
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%-----------SKILLS-----------
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\section{\color{blue}CERTIFICATIONS, SKILLS, TECHNOLOGIES, INTERESTS}
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\begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X }
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\textbf{Certifications: } & AWS Solutions Architect\\
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\textbf{Skills: } & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops \\
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\textbf{Languages: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash\\
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\textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite; PostgresSQL; NumPy; SciPy; Scikit-learn; Matplotlib; MongoDB; Docker; Git; Jenkins; Terraform; AWS; Kubernetes; Express JS; Node.js; Swagger\\
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\textbf{Languages: } & English (Fluent); Arabic (Fluent) \end{tabularx}
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\vspace{-7pt}
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\section{\color{blue}SKILLS \& TECHSTACKS}
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\begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X }
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\textbf{Skills: } & AI Systems; DevOps; Cloud Infrastructure; IaC; Containerization; CI/CD Pipelines; Telemetry Monitoring; Agile/Scrum \\
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\textbf{Languages: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash \\
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\textbf{Tech Stacks: } & PyTorch; Stable-Baselines3; ROS2; Arduino IDE; React; FastAPI; Flask; Jest; PyTest; Docker; Jenkins; Terraform; AWS (EC2, S3); Nginx Proxy Manager; Cloudflare; Prometheus; Grafana; SQLite; PostgreSQL \\
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\end{tabularx}
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\vspace{-10pt}
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% %-----------SKILLS-----------
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% \section{\color{blue}SKILLS \& TECHSTACKS}
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% \begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X }
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% % \textbf{Certifications: } & AWS Solutions Architect\\
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% \textbf{Skills: } & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops \\
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% \textbf{Languages: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash \\
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% \textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite; PostgresSQL; NumPy; SciPy; Scikit-learn; Matplotlib; MongoDB; Docker; Git; Jenkins; Terraform; AWS; Kubernetes; Express JS; Node.js; Swagger \\
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% \end{tabularx}
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% \vspace{-10pt}
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%----------Experience----------
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\section{\color{blue}WORK EXPERIENCE}
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\resumeSubHeadingListStart
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\resumeSubheading
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{Software Engineer—Machine Learning}{Jan 2024 – Aug 2025}
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{University of Guelph}{}
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\resumeItemListStart
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\resumeItem {Developed semantic communication pipelines using Swin Transformer, achieving a 30x reduction in bandwidth utilization and 29\% lower latency while preserving at least 96\% data accuracy post-decoding under variable network conditions}
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\resumeItem {Extended the functionality of Swin Transformer to adapt to network conditions and handle anomalies, achieving 80\% lower latency by augmenting it with deterministic log-based algorithms}
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\resumeItem {Explored model quantization to deploy and emulate edge device-server environments, achieving realistic emulation and delivering high accuracy simulation reuslts}
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\resumeItem {Published as first author findings in IEEE CCECE '24 and MECOM '25, detailing the novel integration of semantic communications in edge-cloud computing systems}
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\resumeItemListEnd
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\resumeSubHeadingListStart
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\resumeSubheading
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{Researcher - Machine Learning \& Semantic Communications}{Jan 2024 – Dec 2025}
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{University of Guelph}{ Guelph, Ontario}
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\resumeItemListStart
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\resumeItem {Isolated and analyzed system bottlenecks across edge-cloud optical fiber networks, identifying a transition from transmission latency constraints to algorithmic compute bottlenecks during model execution}
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\resumeItem {Optimized end-to-end latency pipelines utilizing Swin Transformer architectures in PyTorch, establishing benchmarking frameworks to compare transmission times across unquantized, quantized (INT8), and baseline non-transformer data states}
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\resumeItem {Programmed an adaptive channel-selection algorithm utilizing logarithmic logic to dynamically scale the number of transmitted image channels based on real-time bandwidth and latency metrics}
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\resumeItem {Authored and published peer-reviewed research in IEEE conference proceedings focusing on task-driven feature extraction to mitigate computational and network overhead in edge-cloud architectures}
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\resumeItemListEnd
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\resumeSubheading
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{Software Developer}{Oct 2022 – Oct 2023}
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{University of Guelph – Robotics Institute}{}
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\resumeItemListStart
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\resumeItem {Architected and containerized a multi-technology stack combining ROS2, Node.js, and Vue to enable seamless real-time control across distributed robotic systems}
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\resumeItem {Implemented automated AWS infrastructure provisioning with Terraform and integrated CI/CD pipelines via GitLab and Jenkins, reducing manual deployment steps by 80\%}
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\resumeItem {Created a secure certificate management workflow that streamlined Let's Encrypt renewals and configured a Nginx reverse proxy to enforce HTTPS and granular CORS policies}
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\resumeItem {Led the design and implementation of an accessible smart door system using ESP32, PIR sensors, and React Native, achieving over 95\% reliability in extensive field tests}
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\resumeItemListEnd
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\resumeSubheading
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{Software Developer}{Oct 2022 – Oct 2023}
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{University of Guelph - Robotics Institute}{ Guelph, Ontario}
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\resumeItemListStart
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\resumeItem {Developed distributed node architectures for an automated feeding assistant robot within ROS2, writing native C++ and Python nodes to manage core services, topics, and real-time depth-sensor camera data feeds}
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\resumeItem {Designed and programmed firmware for an ESP32-based smart mechatronic door system within the Arduino environment, implementing Bluetooth Low Energy (BLE) for local smartphone authentication and Wi-Fi synchronization for backend logging}
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\resumeItem {Implemented power-management states within microcontroller firmware to alternate between low-power and normal-power operational modes during continuous field deployments}
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\resumeItem {Orchestrated cloud infrastructure provisioning via Terraform, automating the deployment of EC2 instances for application backends/frontends and S3 buckets for media asset management}
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\resumeItemListEnd
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\resumeSubheading
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{Information Technology Analyst}{Jul 2020 – Dec 2020}
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{Kitchener Downtown Community Health Center — SRHC}{}
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\resumeItemListStart
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\resumeItem {Deployed and tuned a centralized Samba file server, increasing file distribution efficiency by 40\% across more than 20 staff and multiple departments}
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\resumeItem {Configured and maintained a FortiGate firewall and VPN solution for 60 users, integrating Prometheus-based monitoring for real-time diagnostics and rapid issue resolution}
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\resumeItem {Revamped the 3CX PBX system by re-architecting call routing and queue management, reducing patient on-hold times by 30\% and enhancing communication reliability}
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\resumeItem {Led a comprehensive hardware modernization initiative by replacing legacy switches, servers, and workstations, which reduced operating costs by 45\% while boosting network performance and security}
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\resumeItemListEnd
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\resumeSubHeadingListEnd
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% \vspace{-8pt}
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\resumeSubheading
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{Information Technology Analyst}{Jul 2020 – Dec 2020}
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{Kitchener Downtown Community Health Center - SRHC}{ Kitchener, Ontario}
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\resumeItemListStart
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\resumeItem {Configured distributed file architectures using a centralized Samba server, increasing secure data access and distribution efficiency by 40\% across multi-department teams}
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\resumeItem {Secured network topography via FortiGate firewall and VPN implementations, supporting 60 active remote users}
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\resumeItem {Deployed Prometheus and Grafana monitoring pipelines across a multi-container Docker environment to track system downtime, monitor SSH traffic, and isolate anomalous network activity}
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\resumeItemListEnd
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\resumeSubHeadingListEnd
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%-----------PROJECTS-----------
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\section{\color{blue}PROJECTS}
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\resumeSubHeadingListStart
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\resumeSubHeadingListStart
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\resumeProjectHeading {\textbf{\color{black}Personal Portfolio Website} $|$ \color{blue} \emph{React, Rust, Async, Jenkins, Docker}}{}
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\resumeItemListStart
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\resumeItem{Built a portfolio website featuring a React frontend coupled with a resilient Rust backend}
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\resumeItem{Integrated comprehensive Jenkins CI/CD pipelines and Docker-based deployment, slashing manual release efforts by 70\% and ensuring high availability}
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\resumeItemListEnd
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\resumeProjectHeading {\textbf{\color{black}Real-Time Audio Filtering RL Environment} $|$ \color{blue} \emph{Python, PyTorch, OpenAI Gym, Stable-Baselines3, SciPy, librosa}}{}
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\resumeItemListStart
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\resumeItem{Constructed a custom OpenAI Gym audio environment (NoiseReductionEnv) running a frequency-domain control loop via Fast Fourier Transforms (scipy.fft.rfft) to manipulate harmonic scaling coefficients}
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\resumeItem{Trained a PPO agent over 10,000 timesteps using an MlpPolicy, minimizing Mean Squared Error (MSE) against clean baseline signals to synthesize sequential 44.1 kHz time-domain outputs}
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\resumeItemListEnd
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\resumeProjectHeading {\textbf{\color{black}Home lab Adminstration} $|$ \color{blue} \emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}}{}
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\resumeItemListStart
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\resumeItem{Orchestrate a comprehensive home lab environment managing 15+ Docker containers for media, web, and gaming services, configured auto-renewal SSL/TLS certification with Let’s Encrypt, setup Prometheus/Grafana monitoring, and applied Fail2Ban for robust security achieving 99.9\% uptime and detailed system analytics}
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\resumeItemListEnd
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\resumeProjectHeading{\textbf{\color{black}DevOps Server Infrastructure \& CI/CD Pipeline} $|$ \color{blue} \emph{Docker, Jenkins, Nginx Proxy Manager, Cloudflare, PyTest, Jest}}{}
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\resumeItemListStart
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\resumeItem{Self-hosted a containerized Jenkins automation server to manage continuous integration pipelines across 15+ microservices, executing automated validation via PyTest and Jest}
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\resumeItem{Architected a multi-layered proxy topography using Nginx Proxy Manager and Cloudflare to securely route web traffic, isolate runtime endpoints, and automate Let's Encrypt SSL/TLS renewals}
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\resumeItemListEnd
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\resumeProjectHeading{\textbf{\color{black}HAM10K Skin Cancer Classifier} $|$ \color{blue} \emph{Python, PyTorch, SciPy, Pandas}}{}
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\resumeItemListStart
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\resumeItem{Engineered a comprehensive deep learning pipeline integrating a PCA-enhanced MLP, a custom-designed DCNN, and the RegNetY-320 architecture}
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\resumeItem{Applied systematic class rebalancing and extensive data augmentation to achieve 96.9\% accuracy, an optimal F1-score, and a flawless 1.00 AUC}
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\resumeItemListEnd
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\resumeSubHeadingListEnd
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\vspace{-7pt}
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% %-----------PROJECTS-----------
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% \section{\color{blue}PROJECTS}
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% \resumeSubHeadingListStart
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%
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% \resumeProjectHeading {\textbf{\color{black}Home lab Adminstration} $|$ \color{blue} \emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}}{}
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% \resumeItemListStart
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% \resumeItem{Orchestrate a comprehensive home lab environment managing 15+ Docker containers for media, web, and gaming services, configured auto-renewal SSL/TLS certification with Let’s Encrypt, setup Prometheus/Grafana monitoring, and applied Fail2Ban for robust security achieving 99.9\% uptime and detailed system analytics}
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% \resumeItemListEnd
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%
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% \resumeProjectHeading{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue} \emph{Python, Flask, RESTful, HTML, CSS, JS}}{}
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% \resumeItemListStart
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% \resumeItem{Developed a scalable Flask-RESTful API paired with an interactive HTML/JS frontend while leveraging the UCI dataset and implemented real-time feature scaling with hyperparameter tuning to deliver a 95\% prediction accuracy, supporting timely clinical decision-making}
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% \resumeItemListEnd
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%
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% \resumeProjectHeading{\textbf{\color{black} Real-Time Noise Cancellation with RL} $|$ \color{blue} \emph{Python, PyTorch, Gymnasium, SciPy, librosa}}{}
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% \resumeItemListStart
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% \resumeItem{Created a bespoke OpenAI Gym environment incorporating FFT-based audio processing and trained a PPO agent to perform adaptive noise cancellation in real time, achieving processing speeds exceeding 5,200 FPS for high-fidelity audio performance}
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% \resumeItemListEnd
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% \resumeSubHeadingListEnd
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% \vspace{-7pt}
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\resumeProjectHeading{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue} \emph{Python, Flask, RESTful, HTML, CSS, JS}}{}
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\resumeItemListStart
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\resumeItem{Developed a scalable Flask-RESTful API paired with an interactive HTML/JS frontend while leveraging the UCI dataset and implemented real-time feature scaling with hyperparameter tuning to deliver a 95\% prediction accuracy, supporting timely clinical decision-making}
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\resumeItemListEnd
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\section{\color{blue}PUBLICATIONS}
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\resumeSubHeadingListStart
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\resumeProjectHeading
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{\textbf{Network-Aware Adaptive Semantic Image Transmission in Edge-Cloud Communications}}{MECOM 2025}
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\resumeItemListStart
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\resumeItem{Proposed an adaptive JSCC framework that couples Swin-Transformers with real-time network telemetry to optimize image transmission over dynamic 5G/6G core networks (Published, IEEE Xplore)}
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\resumeItemListEnd
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\resumeProjectHeading
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{\textbf{Boosting Edge-to-Cloud Data Transmission Efficiency with Semantic Transcoding}}{CCECE 2024}
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\resumeItemListStart
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\resumeItem{Utilized transformer-based edge-to-cloud models to achieve a $30\times$ bandwidth reduction and $30\%$ improvement in end-to-end latency for high-speed data systems (Published, IEEE Xplore)}
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\resumeItemListEnd
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\resumeSubHeadingListEnd
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\resumeProjectHeading{\textbf{\color{black} Real-Time Noise Cancellation with RL} $|$ \color{blue} \emph{Python, PyTorch, Gymnasium, SciPy, librosa}}{}
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\resumeItemListStart
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\resumeItem{Created a bespoke OpenAI Gym environment incorporating FFT-based audio processing and trained a PPO agent to perform adaptive noise cancellation in real time, achieving processing speeds exceeding 5,200 FPS for high-fidelity audio performance}
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\resumeItemListEnd
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\resumeSubHeadingListEnd
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% \vspace{-8pt}
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\end{document}
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