job(software): refactor job experience bullet points, updated projects section, added certificates, updated header
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2 changed files with 64 additions and 43 deletions
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@ -49,14 +49,14 @@
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% Sections formatting
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\titleformat{\section}{
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\vspace{-4pt}\raggedright \fontsize{10}{12} \bfseries
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\vspace{-4pt}\raggedright \fontsize{9}{12} \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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\pdfgentounicode=1
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\makeatletter
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\renewcommand\Huge{\@setfontsize\Huge{17pt}{20pt}}
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\renewcommand\Huge{\@setfontsize\Huge{15pt}{20pt}}
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\makeatother
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%-------------------------
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@ -72,7 +72,7 @@
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\textbf{\color{black}#1}
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\vspace{1pt} % Adjust this value to increase or decrease space
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% \small
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#2\vspace{-2pt} % Adjust this value to increase or decrease space between items
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#2\vspace{-5pt} % Adjust this value to increase or decrease space between items
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}
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\newcommand{\resumeSchoolItem}[2]{
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@ -101,7 +101,7 @@
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\vspace{-2pt}\item
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\begin{tabular*}{1.00\textwidth}{l@{\extracolsep{\fill}}r}
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#1 & \textbf{ #2}\\
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\end{tabular*}\vspace{-10pt}
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\end{tabular*}\vspace{-8pt}
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}
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% \newcommand{\resumeSubItem}[1]{\resumeItem{#1}\vspace{-4pt}}
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@ -120,44 +120,49 @@
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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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\begin{tabular*}{\textwidth}{@{\hspace{-1ex}}l}
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\textbf{\href{http://m.nisyif.com/}{\Huge\color{blue}MURTADHA NISYIF}} \vspace{2pt}\\
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\href{mailto:mnisyif@gmail.com}{\faIcon{at} mnisyif@gmail.com} $|$
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\faIcon{phone-square-alt} +1 (519) 502-8463 $|$
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\faIcon{map-marker-alt} Ontario, Canada $|$
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\href{https://m.nisyif.com/}{\faIcon{user-tie} m.nisyif.com} $|$
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\href{https://www.linkedin.com/in/mnisyif}{\faIcon{linkedin} linkedin.com/ln/mnisyif} $|$
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\href{https://github.com/mnisyif}{\faIcon{github} github.com/mnisyif}\vspace{12pt} \\
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\end{tabular*}
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\vspace{-20pt}
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%----------Experience----------
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\section{\color{blue}WORK EXPERIENCE}
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\resumeSubHeadingListStart
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\resumeSubheading
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{Software Engineer - Machine Learning}{Jan 2024 -- Aug 2025}
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{University of Guelph}{Guelph, Ontario}
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\resumeSubheading
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{Software Engineer—Machine Learning}{Jan 2024 – Aug 2025}
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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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\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}
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\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}
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\resumeItem {Quantized PyTorch models via Vitis AI to ONNX for deployment on Xilinx Kria SoCs, leveraging hardware acceleration for 3× faster inference}
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\resumeItem {Published a first-author paper in IEEE conference proceedings, detailing the novel integration of semantic communication with edge computing for real-time applications}
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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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{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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\resumeItem {Architected and containerized a multi-technology stack combining ROS2, Node.js, and Vue to enable seamless real-time control across distributed robotic systems}
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\resumeItem {Implemented automated AWS infrastructure provisioning with Terraform and integrated CI/CD pipelines via GitLab and Jenkins, reducing manual deployment steps by 80\%}
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\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}
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\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}
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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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{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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\resumeItem {Deployed and tuned a centralized Samba file server, increasing file distribution efficiency by 40\% across more than 20 staff and multiple departments}
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\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}
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\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}
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\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}
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\resumeItemListEnd
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\resumeSubHeadingListEnd
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@ -167,34 +172,50 @@
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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}}{Aug 2025}
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\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng - Comp. Engineering, B.Comp. - Comp. Science}}{Apr 2023}
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\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{Apr 2023}
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\resumeSubHeadingListEnd
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% \vspace{-8pt}
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%-----------SKILLS-----------
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\section{\color{blue}SKILLS, TECHNOLOGIES, INTERESTS}
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\section{\color{blue}CERTIFICATIONS, SKILLS, TECHNOLOGIES, INTERESTS}
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\begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X }
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\textbf{Skills:} & AI; DevOps; Software Testing; Cloud Computing; Data Analysis; ML; CI/CD \\
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\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 \\
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\textbf{Languages: } & English (Fluent); Arabic (Fluent)
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\textbf{Certifications: } & AWS Solutions Architect\\
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\textbf{Skills: } & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops \\
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\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 \\
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\textbf{Languages: } & English (Fluent); Arabic (Fluent)
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\end{tabularx}
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% \vspace{-8pt}
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\vspace{-7pt}
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%-----------PROJECTS-----------
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\section{\color{blue}PROJECTS}
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\resumeSubHeadingListStart
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\resumeSubItem{\textbf{\color{black}Personal Portfolio Website}}
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{Full-Stack Developer: built with React frontend and Rust backend, integrated end-to-end Jenkins CI/CD and Docker deployment; reduced manual deployment time by 70\%}
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\resumeSubItem{\textbf{\color{black}Home lab Administration}}
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{Managed a fleet of 15 Docker containers hosting media services, websites, and game servers; implemented automated Let's Encrypt SSL issuance, Prometheus/ Grafana monitoring, and Fail2Ban SSH hardening, achieving 99.9\% uptime}
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\resumeSubItem{\textbf{\color{black} Heart Disease Predictor}}
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{Full-stack Flask-RESTful application with HTML/CSS/JavaScript frontend; trained on the UCI Heart Disease dataset (11 clinical features) achieving 95\% accuracy; implements input feature scaling for normalized, real-time predictions}
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\resumeSubItem{\textbf{\color{black}Real-Time Noise cancelling with RL}}
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{Built a custom OpenAl Gym environment in Python that leverages Dynamic Sparse Training (DST) and FFT-based audio processing (librosa) to adaptively filter noise; implemented a waveform-similarity reward and achieved up to 5209 FPS during PPO training}
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\resumeProjectHeading {\textbf{\color{black}Personal Portfolio Website} $|$ \color{blue} \emph{React, Rust, Async, Jenkins, Docker}}{}
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\resumeItemListStart
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\resumeItem{Built a portfolio website featuring a React frontend coupled with a resilient Rust backend}
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\resumeItem{Integrated comprehensive Jenkins CI/CD pipelines and Docker-based deployment, slashing manual release efforts by 70\% and ensuring high availability}
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\resumeItemListEnd
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\resumeProjectHeading {\textbf{\color{black}Home lab Adminstration} $|$ \color{blue} \emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}}{}
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\resumeItemListStart
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\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}
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\resumeItemListEnd
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\resumeProjectHeading{\textbf{\color{black}HAM10K Skin Cancer Classifier} $|$ \color{blue} \emph{Python, PyTorch, SciPy, Pandas}}{}
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\resumeItemListStart
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\resumeItem{Engineered a comprehensive deep learning pipeline integrating a PCA-enhanced MLP, a custom-designed DCNN, and the RegNetY-320 architecture}
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\resumeItem{Applied systematic class rebalancing and extensive data augmentation to achieve 96.9\% accuracy, an optimal F1-score, and a flawless 1.00 AUC}
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\resumeItemListEnd
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\resumeProjectHeading{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue} \emph{Python, Flask, RESTful, HTML, CSS, JS}}{}
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\resumeItemListStart
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\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}
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\resumeItemListEnd
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\resumeProjectHeading{\textbf{\color{black} Real-Time Noise Cancellation with RL} $|$ \color{blue} \emph{Python, PyTorch, Gymnasium, SciPy, librosa}}{}
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\resumeItemListStart
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\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}
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\resumeItemListEnd
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\resumeSubHeadingListEnd
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% \vspace{-8pt}
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\end{document}
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