diff --git a/resumes/build/resume_en.pdf b/resumes/build/resume_en.pdf new file mode 100644 index 0000000..38632a3 Binary files /dev/null and b/resumes/build/resume_en.pdf differ diff --git a/resumes/resume_en.tex b/resumes/resume_en.tex index 051bc0c..3ee949e 100644 --- a/resumes/resume_en.tex +++ b/resumes/resume_en.tex @@ -121,111 +121,104 @@ %----------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} \\ + \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 - {Teaching Assistant – ENGG*4740: Robotics}{Jan 2025 -- Apr 2025} - {University of Guelph}{Guelph, Ontario} - \resumeItemListStart - \resumeItem {Conducted tutorials to reinforce lecture material and guide students through robotics concepts} - \resumeItem {Led lab demonstrations and provided hands-on guidance in implementing robotic control and navigation algorithms} - \resumeItem {Graded assignments, lab reports, and project deliverables with constructive feedback} - \resumeItem {Supported students through Q\&A sessions and office hours, enhancing both technical and problem-solving skills} - \resumeItemListEnd - \resumeSubheading - {Teaching Assistant - ENGG*3640: Microcomputer Interfacing}{Sep 2024 -- Dec 2024} - {University of Guelph}{Guelph, Ontario} - \resumeItemListStart - \resumeItem {Assisted in administering labs by guiding students through hardware/software integration tasks} - \resumeItem {Evaluated and graded lab reports and assessments, ensuring clear feedback and fair evaluation} - \resumeItem {Assessed student lab demonstrations and provided constructive feedback on their implementations} - \resumeItem {Addressed student inquiries related to both lectures and lab work, reinforcing theoretical concepts through practical applications} - \resumeItemListEnd +\resumeSubHeadingListStart +\resumeSubheading +{Teaching Assistant - Robotic Systems}{Sep 2025 -- Dec 2025} +{University of Guelph}{Guelph, Ontario} +\resumeItemListStart +\resumeItem {Conducted tutorials to reinforce lecture material and guide students through robotics concepts} +\resumeItem {Led lab demonstrations and provided hands-on guidance in implementing robotic control and navigation algorithms} +\resumeItem {Graded assignments, lab reports, and project deliverables with constructive feedback} +\resumeItem {Supported students through Q\&A sessions and office hours, enhancing both technical and problem-solving skills} +\resumeItemListEnd - \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} - \resumeItem {Extended semantic communication models with predictive adaptation mechanisms for network anomalies, sustaining 96\% task accuracy under fluctuating conditions} - \resumeItemListEnd +\resumeSubheading +{Teaching Assistant - Microcomputer Interfacing}{Sep 2024 -- Dec 2024} +{University of Guelph}{Guelph, Ontario} +\resumeItemListStart +\resumeItem {Assisted in administering labs by guiding students through hardware/software integration tasks} +\resumeItem {Evaluated and graded lab reports and assessments, ensuring clear feedback and fair evaluation} +\resumeItem {Assessed student lab demonstrations and provided constructive feedback on their implementations} +\resumeItem {Addressed student inquiries related to both lectures and lab work, reinforcing theoretical concepts through practical 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 +{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} +\resumeItem {Extended semantic communication models with predictive adaptation mechanisms for network anomalies, sustaining 96\% task accuracy under fluctuating conditions} +\resumeItemListEnd - \resumeSubHeadingListEnd - % \vspace{-8pt} +\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 - %-----------EDUCATION----------- - \section{\color{blue}EDUCATION} - \resumeSubHeadingListStart - \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{Masters of Applied Science - Semantic Communication \& ML}}{Dec 2025} - \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{Bachelors of Engineering - Computer Engineering}}{Apr 2023} - \resumeSubHeadingListEnd - - %-----------SKILLS----------- - \section{\color{blue}SKILLS, TECHNOLOGIES, INTERESTS} - \begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X } - \textbf{Skills: } & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops \\ - \textbf{Languages: } & Python; C++; C; Rust; JavaScript; HTML; Java; Bash; Go\\ - \textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite, PostgresSQL, MongoDB, Express JS; Node.js; Swagger; Docker; Git; Jenkins; Terraform; AWS; Kubernetes\\ - \textbf{Languages: } & English (Fluent); Arabic (Fluent) - \end{tabularx} - \vspace{-7pt} +\resumeSubHeadingListEnd + +%-----------EDUCATION----------- +\section{\color{blue}EDUCATION} +\resumeSubHeadingListStart +\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{Masters of Applied Science - Semantic Communication}}{Dec 2025} +\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{Bachelors of Engineering - Computer Engineering}}{Apr 2023} +\resumeSubHeadingListEnd + +%-----------SKILLS----------- +\section{\color{blue}SKILLS, TECHNOLOGIES, INTERESTS} +\begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X } + \textbf{Skills: } & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops \\ + \textbf{Languages: } & Python; C++; C; Rust; JavaScript; HTML; Java; Bash; Go \\ + \textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite, PostgresSQL, MongoDB, Express JS; Node.js; Swagger; Docker; Git; Jenkins; Terraform; AWS; Kubernetes \\ +\end{tabularx} +\vspace{-7pt} %-----------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}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}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}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}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 - \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}