mnisyif/myResume
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

refactor: remove course number and remove spoken languages

Browse source
This commit is contained in:
Murtadha 2025-10-05 19:42:25 -04:00
parent 2bd3f3e549
commit b13b210e04
2 changed files with 81 additions and 88 deletions
Download patch file Download diff file Expand all files Collapse all files

BIN
resumes/build/resume_en.pdf Normal file
View file

Binary file not shown.

151
resumes/resume_en.tex
View file

@ -134,98 +134,91 @@
%----------Experience---------- %----------Experience----------
\section{\color{blue}WORK EXPERIENCE} \section{\color{blue}WORK EXPERIENCE}
\resumeSubHeadingListStart \resumeSubHeadingListStart
\resumeSubheading \resumeSubheading
{Teaching Assistant – ENGG*4740: Robotics}{Jan 2025 -- Apr 2025} {Teaching Assistant - Robotic Systems}{Sep 2025 -- Dec 2025}
{University of Guelph}{Guelph, Ontario} {University of Guelph}{Guelph, Ontario}
\resumeItemListStart \resumeItemListStart
\resumeItem {Conducted tutorials to reinforce lecture material and guide students through robotics concepts} \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 {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 {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} \resumeItem {Supported students through Q\&A sessions and office hours, enhancing both technical and problem-solving skills}
\resumeItemListEnd \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
\resumeSubheading \resumeSubheading
{Software Engineer—Machine Learning}{Jan 2024 – Aug 2025} {Teaching Assistant - Microcomputer Interfacing}{Sep 2024 -- Dec 2024}
{University of Guelph}{ Guelph, Ontario} {University of Guelph}{Guelph, Ontario}
\resumeItemListStart \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 {Assisted in administering labs by guiding students through hardware/software integration tasks}
\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 {Evaluated and graded lab reports and assessments, ensuring clear feedback and fair evaluation}
\resumeItem {Quantized PyTorch models via Vitis AI to ONNX for deployment on Xilinx Kria SoCs, leveraging hardware acceleration for 3× faster inference} \resumeItem {Assessed student lab demonstrations and provided constructive feedback on their implementations}
\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 {Addressed student inquiries related to both lectures and lab work, reinforcing theoretical concepts through practical applications}
\resumeItem {Extended semantic communication models with predictive adaptation mechanisms for network anomalies, sustaining 96\% task accuracy under fluctuating conditions} \resumeItemListEnd
\resumeItemListEnd
\resumeSubheading \resumeSubheading
{Software Developer}{Oct 2022 – Oct 2023} {Software Engineer—Machine Learning}{Jan 2024 – Aug 2025}
{University of Guelph – Robotics Institute}{ Guelph, Ontario} {University of Guelph}{ Guelph, Ontario}
\resumeItemListStart \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 {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 {Implemented automated AWS infrastructure provisioning with Terraform and integrated CI/CD pipelines via GitLab and Jenkins, reducing manual deployment steps by 80\%} \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 {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 {Quantized PyTorch models via Vitis AI to ONNX for deployment on Xilinx Kria SoCs, leveraging hardware acceleration for 3× faster inference}
\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} \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 \resumeItem {Extended semantic communication models with predictive adaptation mechanisms for network anomalies, sustaining 96\% task accuracy under fluctuating conditions}
\resumeItemListEnd
\resumeSubHeadingListEnd \resumeSubheading
% \vspace{-8pt} {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----------- \resumeSubHeadingListEnd
\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----------- %-----------EDUCATION-----------
\section{\color{blue}SKILLS, TECHNOLOGIES, INTERESTS} \section{\color{blue}EDUCATION}
\begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X } \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{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{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{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}
\end{tabularx} \vspace{-7pt}
\vspace{-7pt}
%-----------PROJECTS----------- %-----------PROJECTS-----------
\section{\color{blue}PROJECTS} \section{\color{blue}PROJECTS}
\resumeSubHeadingListStart \resumeSubHeadingListStart
\resumeProjectHeading {\textbf{\color{black}Personal Portfolio Website} $|$ \color{blue} \emph{React, Rust, Async, Jenkins, Docker}}{} \resumeProjectHeading {\textbf{\color{black}Home lab Adminstration} $|$ \color{blue} \emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}}{}
\resumeItemListStart \resumeItemListStart
\resumeItem{Built a portfolio website featuring a React frontend coupled with a resilient Rust backend} \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}
\resumeItem{Integrated comprehensive Jenkins CI/CD pipelines and Docker-based deployment, slashing manual release efforts by 70\% and ensuring high availability} \resumeItemListEnd
\resumeItemListEnd
\resumeProjectHeading {\textbf{\color{black}Home lab Adminstration} $|$ \color{blue} \emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}}{} \resumeProjectHeading{\textbf{\color{black}HAM10K Skin Cancer Classifier} $|$ \color{blue} \emph{Python, PyTorch, SciPy, Pandas}}{}
\resumeItemListStart \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} \resumeItem{Engineered a comprehensive deep learning pipeline integrating a PCA-enhanced MLP, a custom-designed DCNN, and the RegNetY-320 architecture}
\resumeItemListEnd \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}}{} \resumeProjectHeading{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue} \emph{Python, Flask, RESTful, HTML, CSS, JS}}{}
\resumeItemListStart \resumeItemListStart
\resumeItem{Engineered a comprehensive deep learning pipeline integrating a PCA-enhanced MLP, a custom-designed DCNN, and the RegNetY-320 architecture} \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}
\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
\resumeItemListEnd
\resumeProjectHeading{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue} \emph{Python, Flask, RESTful, HTML, CSS, JS}}{} \resumeProjectHeading{\textbf{\color{black} Real-Time Noise Cancellation with RL} $|$ \color{blue} \emph{Python, PyTorch, Gymnasium, SciPy, librosa}}{}
\resumeItemListStart \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} \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 \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} \end{document}