221 lines
11 KiB
TeX
221 lines
11 KiB
TeX
\documentclass[letterpaper,11pt]{article}
|
||
|
||
\usepackage{geometry} % For page layout adjustments like \addtolength
|
||
\usepackage{url} % For \urlstyle
|
||
\usepackage{latexsym}
|
||
\usepackage[empty]{fullpage}
|
||
\usepackage{titlesec}
|
||
\usepackage{marvosym}
|
||
\usepackage[usenames,dvipsnames]{color}
|
||
\usepackage{verbatim}
|
||
\usepackage{enumitem}
|
||
\usepackage[hidelinks]{hyperref}
|
||
\usepackage{fancyhdr}
|
||
\usepackage[english]{babel}
|
||
\usepackage{tabularx}
|
||
\usepackage{fontawesome5}
|
||
\usepackage{multicol}
|
||
\usepackage{graphicx}
|
||
\usepackage[export]{adjustbox}
|
||
\usepackage{multirow}
|
||
\usepackage{textcase}
|
||
\usepackage{anyfontsize} % allows arbitrary font sizes
|
||
\AtBeginDocument{%
|
||
\fontsize{9pt}{11pt}\selectfont
|
||
}
|
||
|
||
\setlength{\multicolsep}{-3.0pt}
|
||
\setlength{\columnsep}{-1pt}
|
||
\input{glyphtounicode}
|
||
|
||
\pagestyle{fancy}
|
||
\fancyhf{} % clear all header and footer fields
|
||
\fancyfoot{}
|
||
\renewcommand{\headrulewidth}{0pt}
|
||
\renewcommand{\footrulewidth}{0pt}
|
||
|
||
% Adjust margins
|
||
\addtolength{\oddsidemargin}{-0.6in}
|
||
\addtolength{\evensidemargin}{-0.5in}
|
||
\addtolength{\textwidth}{1.19in}
|
||
\addtolength{\topmargin}{-.7in}
|
||
\addtolength{\textheight}{1.4in}
|
||
|
||
\urlstyle{same}
|
||
|
||
\raggedbottom
|
||
\raggedright
|
||
\setlength{\tabcolsep}{0in}
|
||
|
||
% Sections formatting
|
||
\titleformat{\section}{
|
||
\vspace{-4pt}\raggedright \fontsize{9}{12} \bfseries
|
||
}{}{0em}{}[\color{blue}\titlerule \vspace{-5pt}]
|
||
|
||
% Ensure that generate pdf is machine readable/ATS parsable
|
||
\pdfgentounicode=1
|
||
|
||
\makeatletter
|
||
\renewcommand\Huge{\@setfontsize\Huge{15pt}{20pt}}
|
||
\makeatother
|
||
|
||
%-------------------------
|
||
% Custom commands
|
||
\newcommand{\resumeItem}[1]{
|
||
\item{
|
||
{#1\vspace{-2pt}}
|
||
}
|
||
}
|
||
|
||
\newcommand{\resumeSubItem}[2]{
|
||
\item
|
||
\textbf{\color{black}#1}
|
||
\vspace{1pt} % Adjust this value to increase or decrease space
|
||
% \small
|
||
#2\vspace{-5pt} % Adjust this value to increase or decrease space between items
|
||
}
|
||
|
||
\newcommand{\resumeSchoolItem}[2]{
|
||
\item
|
||
\begin{tabular*}{1.0\textwidth}[t]{l@{\extracolsep{\fill}}r}
|
||
\textbf{\color{black} #1} & \textbf{ #2} \\
|
||
\end{tabular*}\vspace{-7pt}
|
||
}
|
||
|
||
\newcommand{\resumeSubheading}[4]{
|
||
\vspace{-2pt}\item
|
||
\begin{tabular*}{1.0\textwidth}[t]{l@{\extracolsep{\fill}}r}
|
||
\textbf{\color{black} #1} & \textbf{ #2} \\
|
||
\textit{#3} & \textit{ #4} \\
|
||
\end{tabular*}\vspace{-7pt}
|
||
}
|
||
|
||
\newcommand{\resumeSubSubheading}[2]{
|
||
\item
|
||
\begin{tabular*}{1.0\textwidth}{l@{\extracolsep{\fill}}r}
|
||
\textit{#1} & \textit{ #2} \\
|
||
\end{tabular*}\vspace{-7pt}
|
||
}
|
||
|
||
\newcommand{\resumeProjectHeading}[2]{
|
||
\vspace{-2pt}\item
|
||
\begin{tabular*}{1.00\textwidth}{l@{\extracolsep{\fill}}r}
|
||
#1 & \textbf{ #2}\\
|
||
\end{tabular*}\vspace{-8pt}
|
||
}
|
||
|
||
% \newcommand{\resumeSubItem}[1]{\resumeItem{#1}\vspace{-4pt}}
|
||
|
||
\renewcommand\labelitemi{$\vcenter{\hbox{\tiny$\bullet$}}$}
|
||
\renewcommand\labelitemii{$\vcenter{\hbox{\tiny$\bullet$}}$}
|
||
|
||
\newcommand{\resumeSubHeadingListStart}{\begin{itemize}[leftmargin=0.0in, label={}]}
|
||
\newcommand{\resumeSubHeadingListEnd}{\end{itemize}}%\vspace{-7pt}}
|
||
\newcommand{\resumeItemListStart}{\begin{itemize}}
|
||
\newcommand{\resumeItemListEnd}{\end{itemize}\vspace{-7pt}}
|
||
|
||
\pdfstringdefDisableCommands{\def\color#1{}}
|
||
%-------------------------------------------
|
||
%%%%%% RESUME STARTS HERE %%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
\begin{document}
|
||
|
||
%----------HEADING----------
|
||
\begin{tabular*}{\textwidth}{@{\hspace{-1ex}}l}
|
||
\textbf{\href{http://m.nisyif.com/}{\Huge\color{blue}MURTADHA NISYIF}} \vspace{2pt}\\
|
||
\href{mailto:mnisyif@gmail.com}{\faIcon{at} mnisyif@gmail.com} $|$
|
||
\faIcon{phone-square-alt} +1 (519) 502-8463 $|$
|
||
\faIcon{map-marker-alt} Ontario, Canada $|$
|
||
\href{https://m.nisyif.com/}{\faIcon{user-tie} m.nisyif.com} $|$
|
||
\href{https://www.linkedin.com/in/mnisyif}{\faIcon{linkedin} linkedin.com/ln/mnisyif} $|$
|
||
\href{https://github.com/mnisyif}{\faIcon{github} github.com/mnisyif}\vspace{12pt} \\
|
||
\end{tabular*}
|
||
|
||
\vspace{-20pt}
|
||
|
||
%----------Experience----------
|
||
\section{\color{blue}WORK EXPERIENCE}
|
||
\resumeSubHeadingListStart
|
||
\resumeSubheading
|
||
{Software Engineer—Machine Learning}{Jan 2024 – Aug 2025}
|
||
{University of Guelph}{ Guelph, Ontario}
|
||
\resumeItemListStart
|
||
\resumeItem {Spearheaded the integration of a Swin-Transformer–based compressor into a sophisticated edge-to-cloud pipeline, achieving a 30× reduction in bandwidth usage and a 29\% decrease in latency under variable network conditions}
|
||
\resumeItem {Architectured and trained an adaptive model extension to the existing semantic communication transformer,improving real-time responses to network bandwidth fluctuations while maintaining at least 96\% model accuracy}
|
||
\resumeItem {Quantized PyTorch models via Vitis AI to ONNX for deployment on Xilinx Kria SoCs, leveraging hardware acceleration for 3× faster inference}
|
||
\resumeItem {Published a first-author paper in IEEE conference proceedings, detailing the novel integration of semantic communication with edge computing for real-time applications}
|
||
\resumeItemListEnd
|
||
|
||
\resumeSubheading
|
||
{Software Developer}{Oct 2022 – Oct 2023}
|
||
{University of Guelph – Robotics Institute}{ Guelph, Ontario}
|
||
\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 {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}
|
||
|
||
%-----------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
|
||
% \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{Technologies: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash; Flask; FastAPI; Swagger; Node.js; React; PyTorch; MongoDB; PostgreSQL; SQLite; Docker; Kubernetes; Git; Jenkins; Terraform; AWS \\
|
||
\textbf{Languages: } & English (Fluent); Arabic (Fluent)
|
||
\end{tabularx}
|
||
\vspace{-7pt}
|
||
|
||
%-----------PROJECTS-----------
|
||
\section{\color{blue}PROJECTS}
|
||
\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}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}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
|
||
|
||
\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}
|