192 lines
8.9 KiB
TeX
192 lines
8.9 KiB
TeX
\documentclass[letterpaper,11pt]{article}
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\usepackage{geometry} % For page layout adjustments like \addtolength
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\usepackage{url} % For \urlstyle
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\usepackage{latexsym}
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\usepackage[empty]{fullpage}
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\usepackage{titlesec}
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\usepackage{marvosym}
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\usepackage[usenames,dvipsnames]{color}
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\usepackage{verbatim}
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\usepackage{enumitem}
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\usepackage[hidelinks]{hyperref}
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\usepackage{fancyhdr}
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\usepackage[english]{babel}
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\usepackage{tabularx}
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\usepackage{multicol}
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\usepackage{graphicx}
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\usepackage[export]{adjustbox}
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\input{glyphtounicode}
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% Adjust margins
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\raggedbottom
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\raggedright
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% Sections formatting
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\vspace{-4pt}\raggedright \fontsize{12}{10} \bfseries
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}{}{0em}{}[\color{blue}\titlerule \vspace{-5pt}]
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% Ensure that generate pdf is machine readable/ATS parsable
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%-------------------------
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% Custom commands
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\item\small{
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{#1\vspace{-2pt}}
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\item
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\vspace{1pt} % Adjust this value to increase or decrease space
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\small#2\vspace{-2pt} % Adjust this value to increase or decrease space between items
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\item
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\begin{tabular*}{1.0\textwidth}[t]{l@{\extracolsep{\fill}}r}
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\textbf{\color{black} #1} & \textbf{\small #2} \\
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\end{tabular*}\vspace{-7pt}
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}
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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{\small #2} \\
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\textit{\small#3} & \textit{\small #4} \\
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\textit{\small#1} & \textit{\small #2} \\
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\end{tabular*}\vspace{-7pt}
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\newcommand{\resumeProjectHeading}[2]{
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\vspace{-2pt}\item
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\begin{tabular*}{1.00\textwidth}{l@{\extracolsep{\fill}}r}
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\small#1 & \textbf{\small #2}\\
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% \newcommand{\resumeSubItem}[1]{\resumeItem{#1}\vspace{-4pt}}
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\newcommand{\resumeSubHeadingListEnd}{\end{itemize}}%\vspace{-7pt}}
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\pdfstringdefDisableCommands{\def\color#1{}}
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%-------------------------------------------
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%%%%%% RESUME STARTS HERE %%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{document}
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%----------HEADING----------
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\begin{tabular*}{\textwidth}{ @{\extracolsep{\fill}}l @{\hspace{-1ex}}l @{\hspace{-1ex}}l}
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\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} \\
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\emph{} & \faIcon{at} \href{mailto:mnisyif@gmail.com}{mnisyif@gmail.com} & \faIcon{linkedin} \href{https://www.linkedin.com/in/mnisyif/}{linkedin.com/in/mnisyif}\\
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& \faIcon{phone-square-alt} +1 (519) 502-8463 & \faIcon{github} \href{https://www.github.com/mnisyif}{github.com/mnisyif}
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\end{tabular*}
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\vspace{-10pt}
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%----------Summary----------
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\section{\color{blue}Summary}
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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
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\vspace{-5pt}
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%----------Experience----------
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\section{\color{blue}Relevant Work Experience}
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\resumeSubHeadingListStart
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\resumeSubheading
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{Software Engineer - Machine Learning}{Jan 2024 -- Dec 2024}
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{University of Guelph}{Guelph, Ontario}
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\resumeItemListStart
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\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\%}
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\resumeItem {Authored an \textbf{adaptive network-aware module} that tunes compression in real time, ensuring lowest-possible latency under fluctuating link conditions}
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\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}
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\resumeItem {Containerised encoder, decoder, and a 10 GbE core-network simulator (TCP/IP); profiled round-trip times with iperf3 to verify 29\% latency optimizations}
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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 {Packaged the complete ROS2, Node.js, and Vue stack into versioned \textbf{Docker images} for clean reproducibility across development and test rigs}
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\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}
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\resumeItem {Implemented \textbf{Let's Encrypt auto-renewal} and Nginx reverse-proxy routing, adding HTTPS and CORS hardening without manual intervention}
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\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}
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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}{Kitchener, Ontario}
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\resumeItemListStart
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\resumeItem {Designed a Samba-based file-share to replace e-mail transfers, boosting staff file-access speed by $\sim$40\%}
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\resumeItem {Configured and maintained \textbf{FortiGate firewall + VPN} for 60 remote users; drafted monitoring proof-of-concept in Prometheus before hand-off}
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\resumeItem {Optimized the 3CX PBX workflow, cutting patient on-hold times by 30 \%}
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\resumeItem {Led a hardware refresh (switches, servers, workstations) that met security targets while saving 45 \% against budget}
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\resumeItemListEnd
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\resumeSubHeadingListEnd
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%-----------SKILLS-----------
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\section{\color{blue}Skills}
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\begin{tabular}{ @{} >{\bfseries}l @{\hspace{1.2ex}}l}
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\textbf{Languages:} &Python, C++, JavaScript, C, SQL, Java, C\#, Bash \\
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\textbf{Frameworks:} &Flask, FastAPI, Node.js, React, TensorFlow, PyTorch, ROS2 \\
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\textbf{Databases:} &MongoDB, PostgreSQL, SQLite \\
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\textbf{Tools:} &Docker, Kubernetes, Git, Jenkins, Terraform, AWS, Vitis AI \\
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\end{tabular}
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\vspace{-8pt}
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%-----------PROJECTS-----------
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\section{\color{blue}Projects}
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\begin{itemize}[leftmargin=0.15in, label={}]
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\item \textbf{Heart Disease Predictor} – Flask app with sklearn model, real-time prediction, and input feature scaling \vspace{-5pt}
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\item \textbf{StonkBot} – Discord bot for fantasy stock trading using Python, Matplotlib, and live API feeds \vspace{-5pt}
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\item \textbf{Car Model Classifier} – CNN trained on Stanford Cars dataset with ResNet/EfficientNet architectures\vspace{-5pt}
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\item \textbf{Memory Allocator Simulator} – C implementation of First/Best/Worst fit memory management\vspace{-5pt}
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\item \textbf{Braille Converter Device} – Raspberry Pi-based image-to-Braille translator for accessibility\vspace{-5pt}
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\item \textbf{Clean Architecture Backend} – C\# backend for portfolio website, CI/CD-ready with REST API\vspace{-5pt}
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\item \textbf{RL Noise Cancelling} – Real-time audio filtering using RL and sparse training (PyTorch)\vspace{-5pt}
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\end{itemize}
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\vspace{-10pt}
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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}}{}
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\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Comp. - Computer Science}}{}
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\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{}
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\resumeSubHeadingListEnd
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\vspace{-8pt}
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\end{document}
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