diff --git a/coverletters/build/cl.pdf b/coverletters/build/cl.pdf deleted file mode 100644 index a5e2b1e..0000000 Binary files a/coverletters/build/cl.pdf and /dev/null differ diff --git a/coverletters/cl.pdf b/coverletters/cl.pdf new file mode 100644 index 0000000..d64b87a Binary files /dev/null and b/coverletters/cl.pdf differ diff --git a/coverletters/cl.tex b/coverletters/cl.tex index 901fced..3886b18 100644 --- a/coverletters/cl.tex +++ b/coverletters/cl.tex @@ -5,6 +5,12 @@ % \usepackage{date} % Define variables +%% Job related +\newcommand{\companyName}{DataAnnotation} +\newcommand{\hiringManager}{Hiring Team} +\newcommand{\companyAddress}{Kitchener, ON} +\newcommand{\position}{Cloud Engineer - AI Trainer} + %% Personal \newcommand{\name}{Murtadha Nisyif} \newcommand{\address}{Kitchener, Ontario, Canada} @@ -12,12 +18,6 @@ \newcommand{\phone}{+1 (519) 502-8463} \newcommand{\links}{\href{https://m.nisyif.com}{Website} | \href{https://www.linkedin.com/in/mnisyif}{LinkedIn} | \href{https://www.github.com/mnisyif}{GitHub}} -%% Job related -\newcommand{\companyName}{OCAS} -\newcommand{\hiringManager}{Hiring Team} -\newcommand{\companyAddress}{Guelph, Ontario, Canada} -\newcommand{\position}{Software Developer II} - \begin{document} %============================= % HEADER @@ -40,36 +40,28 @@ %============================= % OPENING SECTION %============================= -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. -As a dual graduate of the University of Guelph, I have a deep appreciation for the impact OCAS has on the Ontario college system. -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. +I am writing to express my interest in the \position{} role at \companyName. +I am a recent graduate in Computer Engineering with a background in backend development, cloud deployment, and machine learning systems. +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. +I’m eager to contribute my skills and energy to a team committed to technical excellence and innovation. %============================= % MAIN BODY SECTION %============================= \vspace{1em} -\noindent My technical background aligns directly with the requirements for building robust, scalable software solutions at OCAS: - -\begin{itemize}[leftmargin=1.5em, labelsep=0.5em] - \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. - \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. - \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\%. - \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. -\end{itemize} +\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. \vspace{1em} -I understand the vital role that dependable technology plays in the learning journey. -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. +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. %============================= % CLOSING SECTION %============================= \vspace{1em} -\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. -I look forward to the possibility of discussing how my experience with optimization and full-stack development can support your upcoming project developments. -Thank you for your time and consideration. +\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. \vspace{2em} \noindent Sincerely, \\ +% \vspace{1em} \noindent\name \end{document} diff --git a/resumes/mnisyif_resume.tex b/resumes/mnisyif_resume.tex index abd9ede..c0929c5 100644 --- a/resumes/mnisyif_resume.tex +++ b/resumes/mnisyif_resume.tex @@ -82,11 +82,11 @@ \end{tabular*}\vspace{-7pt} } -\newcommand{\resumeSubheading}[4]{ +\newcommand{\resumeSubheading}[3]{ \vspace{-2pt}\item \begin{tabular*}{1.0\textwidth}[t]{l@{\extracolsep{\fill}}r} - \textbf{\color{black} #1} & \textbf{ #2} \\ - \textit{#3} & \textit{ #4} \\ + \textbf{\color{black} #1} & \textbf{ #2}\\ + \textit{#3} \\ \end{tabular*}\vspace{-7pt} } @@ -132,125 +132,91 @@ \vspace{-20pt} -%-----------SUMMARY---------- -\section{\color{blue}SUMMARY} -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 - -\vspace{-7pt} - %-----------EDUCATION----------- \section{\color{blue}EDUCATION} -\resumeSubHeadingListStart -\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{MASc. - Computer Engineering}}{Dec 2025} -\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{Apr 2023} -\resumeSubHeadingListEnd + \resumeSubHeadingListStart + \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{MASc. - Computer Engineering}}{Aug 2025} + \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{Apr 2023} + \resumeSubHeadingListEnd % \vspace{-8pt} %-----------SKILLS----------- -\section{\color{blue}SKILLS \& TECHSTACKS} -\begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X } - \textbf{Skills: } & AI Systems; DevOps; Cloud Infrastructure; IaC; Containerization; CI/CD Pipelines; Telemetry Monitoring; Agile/Scrum \\ - \textbf{Languages: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash \\ - \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 \\ -\end{tabularx} -\vspace{-10pt} -% %-----------SKILLS----------- -% \section{\color{blue}SKILLS \& TECHSTACKS} -% \begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X } -% % \textbf{Certifications: } & AWS Solutions Architect\\ -% \textbf{Skills: } & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops \\ -% \textbf{Languages: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash \\ -% \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 \\ -% \end{tabularx} -% \vspace{-10pt} +\section{\color{blue}CERTIFICATIONS, SKILLS, TECHNOLOGIES, INTERESTS} + \begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X } + \textbf{Certifications: } & AWS Solutions Architect\\ + \textbf{Skills: } & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops \\ + \textbf{Languages: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash\\ + \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\\ + \textbf{Languages: } & English (Fluent); Arabic (Fluent) \end{tabularx} + \vspace{-7pt} %----------Experience---------- \section{\color{blue}WORK EXPERIENCE} -\resumeSubHeadingListStart -\resumeSubheading -{Researcher - Machine Learning \& Semantic Communications}{Jan 2024 – Dec 2025} -{University of Guelph}{ Guelph, Ontario} -\resumeItemListStart -\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} -\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} -\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} -\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} -\resumeItemListEnd + \resumeSubHeadingListStart + \resumeSubheading + {Software Engineer—Machine Learning}{Jan 2024 – Aug 2025} + {University of Guelph}{} + \resumeItemListStart + \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} + \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} + \resumeItem {Explored model quantization to deploy and emulate edge device-server environments, achieving realistic emulation and delivering high accuracy simulation reuslts} + \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} + \resumeItemListEnd -\resumeSubheading -{Software Developer}{Oct 2022 – Oct 2023} -{University of Guelph - Robotics Institute}{ Guelph, Ontario} -\resumeItemListStart -\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} -\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} -\resumeItem {Implemented power-management states within microcontroller firmware to alternate between low-power and normal-power operational modes during continuous field deployments} -\resumeItem {Orchestrated cloud infrastructure provisioning via Terraform, automating the deployment of EC2 instances for application backends/frontends and S3 buckets for media asset management} -\resumeItemListEnd + \resumeSubheading + {Software Developer}{Oct 2022 – Oct 2023} + {University of Guelph – Robotics Institute}{} + \resumeItemListStart + \resumeItem {Architected and containerized a multi-technology stack combining ROS2, Node.js, and Vue to enable seamless real-time control across distributed robotic systems} + \resumeItem {Implemented automated AWS infrastructure provisioning with Terraform and integrated CI/CD pipelines via GitLab and Jenkins, reducing manual deployment steps by 80\%} + \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} + \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} + \resumeItemListEnd -\resumeSubheading -{Information Technology Analyst}{Jul 2020 – Dec 2020} -{Kitchener Downtown Community Health Center - SRHC}{ Kitchener, Ontario} -\resumeItemListStart -\resumeItem {Configured distributed file architectures using a centralized Samba server, increasing secure data access and distribution efficiency by 40\% across multi-department teams} -\resumeItem {Secured network topography via FortiGate firewall and VPN implementations, supporting 60 active remote users} -\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} -\resumeItemListEnd + \resumeSubheading + {Information Technology Analyst}{Jul 2020 – Dec 2020} + {Kitchener Downtown Community Health Center — SRHC}{} + \resumeItemListStart + \resumeItem {Deployed and tuned a centralized Samba file server, increasing file distribution efficiency by 40\% across more than 20 staff and multiple departments} + \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} + \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} + \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} + \resumeItemListEnd + + \resumeSubHeadingListEnd + % \vspace{-8pt} -\resumeSubHeadingListEnd %-----------PROJECTS----------- \section{\color{blue}PROJECTS} -\resumeSubHeadingListStart + \resumeSubHeadingListStart -\resumeProjectHeading {\textbf{\color{black}Real-Time Audio Filtering RL Environment} $|$ \color{blue} \emph{Python, PyTorch, OpenAI Gym, Stable-Baselines3, SciPy, librosa}}{} -\resumeItemListStart -\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} -\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} -\resumeItemListEnd + \resumeProjectHeading {\textbf{\color{black}Personal Portfolio Website} $|$ \color{blue} \emph{React, Rust, Async, Jenkins, Docker}}{} + \resumeItemListStart + \resumeItem{Built a portfolio website featuring a React frontend coupled with a resilient Rust backend} + \resumeItem{Integrated comprehensive Jenkins CI/CD pipelines and Docker-based deployment, slashing manual release efforts by 70\% and ensuring high availability} + \resumeItemListEnd -\resumeProjectHeading{\textbf{\color{black}DevOps Server Infrastructure \& CI/CD Pipeline} $|$ \color{blue} \emph{Docker, Jenkins, Nginx Proxy Manager, Cloudflare, PyTest, Jest}}{} -\resumeItemListStart -\resumeItem{Self-hosted a containerized Jenkins automation server to manage continuous integration pipelines across 15+ microservices, executing automated validation via PyTest and Jest} -\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} -\resumeItemListEnd + \resumeProjectHeading {\textbf{\color{black}Home lab Adminstration} $|$ \color{blue} \emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}}{} + \resumeItemListStart + \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} + \resumeItemListEnd -\resumeSubHeadingListEnd -\vspace{-7pt} -% %-----------PROJECTS----------- -% \section{\color{blue}PROJECTS} -% \resumeSubHeadingListStart -% -% \resumeProjectHeading {\textbf{\color{black}Home lab Adminstration} $|$ \color{blue} \emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}}{} -% \resumeItemListStart -% \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} -% \resumeItemListEnd -% -% \resumeProjectHeading{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue} \emph{Python, Flask, RESTful, HTML, CSS, JS}}{} -% \resumeItemListStart -% \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} -% \resumeItemListEnd -% -% \resumeProjectHeading{\textbf{\color{black} Real-Time Noise Cancellation with RL} $|$ \color{blue} \emph{Python, PyTorch, Gymnasium, SciPy, librosa}}{} -% \resumeItemListStart -% \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} -% \resumeItemListEnd -% \resumeSubHeadingListEnd -% \vspace{-7pt} + \resumeProjectHeading{\textbf{\color{black}HAM10K Skin Cancer Classifier} $|$ \color{blue} \emph{Python, PyTorch, SciPy, Pandas}}{} + \resumeItemListStart + \resumeItem{Engineered a comprehensive deep learning pipeline integrating a PCA-enhanced MLP, a custom-designed DCNN, and the RegNetY-320 architecture} + \resumeItem{Applied systematic class rebalancing and extensive data augmentation to achieve 96.9\% accuracy, an optimal F1-score, and a flawless 1.00 AUC} + \resumeItemListEnd -\section{\color{blue}PUBLICATIONS} -\resumeSubHeadingListStart - -\resumeProjectHeading -{\textbf{Network-Aware Adaptive Semantic Image Transmission in Edge-Cloud Communications}}{MECOM 2025} -\resumeItemListStart -\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)} -\resumeItemListEnd - -\resumeProjectHeading -{\textbf{Boosting Edge-to-Cloud Data Transmission Efficiency with Semantic Transcoding}}{CCECE 2024} -\resumeItemListStart -\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)} -\resumeItemListEnd -\resumeSubHeadingListEnd + \resumeProjectHeading{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue} \emph{Python, Flask, RESTful, HTML, CSS, JS}}{} + \resumeItemListStart + \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} + \resumeItemListEnd + \resumeProjectHeading{\textbf{\color{black} Real-Time Noise Cancellation with RL} $|$ \color{blue} \emph{Python, PyTorch, Gymnasium, SciPy, librosa}}{} + \resumeItemListStart + \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} + \resumeItemListEnd + \resumeSubHeadingListEnd + % \vspace{-8pt} \end{document}