Merge branch 'main' into jobs/software-engineer

coverletters/cl.tex

@@ -5,12 +5,6 @@
 % \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}
@@ -18,6 +12,12 @@
 \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
@@ -40,28 +40,36 @@
 %=============================
 %      OPENING SECTION
 %=============================
-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.
+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.
 
 %=============================
 %       MAIN BODY SECTION
 %=============================
 \vspace{1em}
-\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.
+\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}
 
 \vspace{1em}
-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.
+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.
 
 %=============================
 %        CLOSING SECTION
 %=============================
 \vspace{1em}
-\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.
+\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.
 
 \vspace{2em}
 \noindent Sincerely, \\
-% \vspace{1em}
 \noindent\name
 \end{document}

resumes/mnisyif_resume.tex

@@ -82,11 +82,11 @@
     \end{tabular*}\vspace{-7pt}
 }
 
-\newcommand{\resumeSubheading}[3]{
+\newcommand{\resumeSubheading}[4]{
   \vspace{-2pt}\item
     \begin{tabular*}{1.0\textwidth}[t]{l@{\extracolsep{\fill}}r}
-        \textbf{\color{black} #1} & \textbf{ #2}\\
-      \textit{#3} \\
+      \textbf{\color{black} #1} & \textbf{ #2} \\
+      \textit{#3} & \textit{ #4} \\
     \end{tabular*}\vspace{-7pt}
 }
 
@@ -132,91 +132,125 @@
 
 \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}}{Aug 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}}{Dec 2025}
+\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{Apr 2023}
+\resumeSubHeadingListEnd
 % \vspace{-8pt}
 
 %-----------SKILLS-----------
-\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}
+\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}
 
 %----------Experience----------
 \section{\color{blue}WORK EXPERIENCE}
-    \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
+\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
 
-        \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
+{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
-            {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}
+\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
 
+\resumeSubHeadingListEnd
 
 %-----------PROJECTS-----------
 \section{\color{blue}PROJECTS}
-    \resumeSubHeadingListStart
+\resumeSubHeadingListStart
 
-        \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}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}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}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}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
+\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}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
+\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} 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}