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%%%%%%  RESUME STARTS HERE  %%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{document}

%----------HEADING----------
\begin{tabular*}{\textwidth}{ @{\extracolsep{\fill}}l @{\hspace{-1ex}}l @{\hspace{-1ex}}l}
    \textbf{\href{http://m.nisyif.com/}{\huge\color{blue}Murtadha Nisyif}} & \faIcon{map-marker-alt} Ontario, Canada & \faIcon{link} \href{https://m.nisyif.com/}{m.nisyif.com} \\
    \emph{} & \faIcon{at} \href{mailto:mnisyif@gmail.com}{mnisyif@gmail.com} & \faIcon{linkedin} \href{https://www.linkedin.com/in/mnisyif/}{linkedin.com/in/mnisyif}\\
    & \faIcon{phone-square-alt} +1 (519) 502-8463 & \faIcon{github} \href{https://www.github.com/mnisyif}{github.com/mnisyif}
\end{tabular*}
\vspace{-10pt}

%----------Summary----------
\section{\color{blue}Summary}
    Versatile software engineer with hands-on experience in backend systems, machine learning, DevOps, and embedded platforms. Proficient in Python, C++, Rust and JS, with a portfolio of applied AI, web services, and hardware integrated projects. Passionate about writing clean, testable code and clearly communicating technical insights
\vspace{-5pt}

%----------Experience----------
\section{\color{blue}Relevant Work Experience}
    \resumeSubHeadingListStart
        \resumeSubheading
            {Software Engineer - Machine Learning}{Jan 2024 -- Dec 2024}
            {University of Guelph}{Guelph, Ontario}
            \resumeItemListStart
                \resumeItem {Drove a \textbf{30$\times$ bandwidth reduction} and \textbf{29\% latency cut} by integrating Swin-Transformer semantic compression into an edge-cloud pipeline, while keeping image fidelity $\ge$88\%}
                \resumeItem {Authored an \textbf{adaptive network-aware module} that tunes compression in real time, ensuring lowest-possible latency under fluctuating link conditions}
                \resumeItem {Quantised the PyTorch model to ONNX and \textbf{deployed on Xilinx Kria SoCs with Vitis AI}, achieving DPU inference $\sim$3$\times$ faster than CPU baseline}
                \resumeItem {Containerised encoder, decoder, and a 10 GbE core-network simulator (TCP/IP); profiled round-trip times with iperf3 to verify 29\% latency optimizations}
            \resumeItemListEnd

        \resumeSubheading
            {Software Developer}{Oct 2022 -- Oct 2023}
            {University of Guelph - Robotics Institute}{Guelph, Ontario}
            \resumeItemListStart
                \resumeItem {Packaged the complete ROS2, Node.js, and Vue stack into versioned \textbf{Docker images} for clean reproducibility across development and test rigs}
                \resumeItem {Provisioned AWS EC2 and S3 resources with \textbf{Terraform}; configured a self-hosted GitLab and \textbf{Jenkins pipeline} to build, test, and deploy the full-stack application with zero-downtime rollouts}
                \resumeItem {Implemented \textbf{Let's Encrypt auto-renewal} and Nginx reverse-proxy routing, adding HTTPS and CORS hardening without manual intervention}
                \resumeItem {Delivered a wheelchair-friendly smart-door system integrating ESP32, PIR sensors, and React Native control; field-tested reliability at 95 \% success over 3 months}
            \resumeItemListEnd

        \resumeSubheading
            {Information Technology Analyst}{Jul 2020 -- Dec 2020}
            {Kitchener Downtown Community Health Center - SRHC}{Kitchener, Ontario}
            \resumeItemListStart
                \resumeItem {Designed a Samba-based file-share to replace e-mail transfers, boosting staff file-access speed by $\sim$40\%}
                \resumeItem {Configured and maintained \textbf{FortiGate firewall + VPN} for 60 remote users; drafted monitoring proof-of-concept in Prometheus before hand-off}
                \resumeItem {Optimized the 3CX PBX workflow, cutting patient on-hold times by 30 \%}
                \resumeItem {Led a hardware refresh (switches, servers, workstations) that met security targets while saving 45 \% against budget}
            \resumeItemListEnd

    \resumeSubHeadingListEnd

  %-----------SKILLS-----------
\section{\color{blue}Skills}
    \begin{tabular}{ @{} >{\bfseries}l @{\hspace{1.2ex}}l}
        \textbf{Languages:} &Python, C++, JavaScript, C, SQL, Java, C\#, Bash \\
        \textbf{Frameworks:} &Flask, FastAPI, Node.js, React, TensorFlow, PyTorch, ROS2 \\
        \textbf{Databases:} &MongoDB, PostgreSQL, SQLite \\
        \textbf{Tools:} &Docker, Kubernetes, Git, Jenkins, Terraform, AWS, Vitis AI \\
    \end{tabular}
    \vspace{-8pt}

%-----------PROJECTS-----------
\section{\color{blue}Projects}
    \begin{itemize}[leftmargin=0.15in, label={}]
      \item \textbf{Heart Disease Predictor} – Flask app with sklearn model, real-time prediction, and input feature scaling \vspace{-5pt}
      \item \textbf{StonkBot} – Discord bot for fantasy stock trading using Python, Matplotlib, and live API feeds \vspace{-5pt}
      \item \textbf{Car Model Classifier} – CNN trained on Stanford Cars dataset with ResNet/EfficientNet architectures\vspace{-5pt}
      \item \textbf{Memory Allocator Simulator} – C implementation of First/Best/Worst fit memory management\vspace{-5pt}
      \item \textbf{Braille Converter Device} – Raspberry Pi-based image-to-Braille translator for accessibility\vspace{-5pt}
      \item \textbf{Clean Architecture Backend} – C\# backend for portfolio website, CI/CD-ready with REST API\vspace{-5pt}
      \item \textbf{RL Noise Cancelling} – Real-time audio filtering using RL and sparse training (PyTorch)\vspace{-5pt}
    \end{itemize}
    \vspace{-10pt}

    %-----------EDUCATION-----------
\section{\color{blue}Education}
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        \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{MASc. - Computer Engineering}}{}
        \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Comp. - Computer Science}}{}
        \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{}
    \resumeSubHeadingListEnd
\vspace{-8pt}

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