diff --git a/resumes/build/resume_ar.pdf b/resumes/build/resume_ar.pdf index 5ced4c5..b164ed8 100644 Binary files a/resumes/build/resume_ar.pdf and b/resumes/build/resume_ar.pdf differ diff --git a/resumes/build/resume_en.pdf b/resumes/build/resume_en.pdf index 38632a3..02624ef 100644 Binary files a/resumes/build/resume_en.pdf and b/resumes/build/resume_en.pdf differ diff --git a/resumes/resume_ar.docx b/resumes/resume_ar.docx index 0cbb569..4b874e3 100644 Binary files a/resumes/resume_ar.docx and b/resumes/resume_ar.docx differ diff --git a/resumes/resume_en.tex b/resumes/resume_en.tex index 3ee949e..c26e245 100644 --- a/resumes/resume_en.tex +++ b/resumes/resume_en.tex @@ -123,8 +123,8 @@ \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 $|$ + \faIcon{phone-square-alt} +964 775 608 4424 $|$ + \faIcon{map-marker-alt} Karbala, Iraq $|$ \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} \\ @@ -136,46 +136,34 @@ \section{\color{blue}WORK EXPERIENCE} \resumeSubHeadingListStart \resumeSubheading -{Teaching Assistant - Robotic Systems}{Sep 2025 -- Dec 2025} +{Teaching Assistant}{Sep 2024 -- 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} +\resumeItem {Led lab demonstrations and tutorials for 100+ students, providing hands-on guidance in implementing robotic control, navigation algorithms, and hardware/software integration} +\resumeItem {Facilitated technical comprehension by bridging theoretical lecture concepts with practical applications in microcomputer interfacing and robotic systems} +\resumeItem {Evaluated student performance across lab reports, project deliverables, and live demonstrations, providing constructive feedback to improve technical writing and problem-solving skills} +\resumeItem {Resolved complex student inquiries during office hours and Q\&A sessions, ensuring a deep understanding of both high-level robotics and low-level system interfacing} \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 Engineer—Machine Learning}{Jan 2024 – Aug 2025} +{Researcher - Machine Learning}{Jan 2024 – Dec 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} +\resumeItem {Developed semantic communication pipelines using Swin Transformer models, achieving a 30× reduction in bandwidth usage and 29\% lower latency while preserving atleast 96\% task accuracy under variable network conditions} +\resumeItem {Extended models with adaptive deterministic mechanisms to handle bandwidth fluctuations and anomalies, ensuring stable real-time performance} +\resumeItem {Quantized encoder models to INT8 during edge–cloud simulations to emulate smartphone hardware constraints, enabling realistic performance benchmarking} +\resumeItem {Published a first-author paper in IEEE conference proceedings, detailing the novel integration of semantic communication with edge computing for real-time, near real-time and task-offloading applications} \resumeItemListEnd \resumeSubheading {Software Developer}{Oct 2022 – Oct 2023} -{University of Guelph – Robotics Institute}{ Guelph, Ontario} +{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 - \resumeSubHeadingListEnd %-----------EDUCATION----------- @@ -194,7 +182,6 @@ \end{tabularx} \vspace{-7pt} - %-----------PROJECTS----------- \section{\color{blue}PROJECTS} \resumeSubHeadingListStart @@ -204,12 +191,6 @@ \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} @@ -220,5 +201,23 @@ \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{-7pt} + +\section{\color{blue}PUBLICATIONS} + \resumeSubHeadingListStart + + \resumeProjectHeading + {\textbf{Network-Aware Adaptive Semantic Image Transmission in Edge-Cloud Communications}}{MECOM 2025} + \resumeItemListStart + \resumeItem{Proposed an adaptive JSCC framework that couples Swin-Transformers with real-time network telemetry to optimize image transmission over dynamic 5G/6G core networks (Published, IEEE Xplore)} + \resumeItemListEnd + + \resumeProjectHeading + {\textbf{Boosting Edge-to-Cloud Data Transmission Efficiency with Semantic Transcoding}}{CCECE 2024} + \resumeItemListStart + \resumeItem{Utilized transformer-based edge-to-cloud models to achieve a $30\times$ bandwidth reduction and $30\%$ improvement in end-to-end latency for high-speed data systems (Published, IEEE Xplore)} + \resumeItemListEnd + \resumeSubHeadingListEnd + \end{document}