diff --git a/resumes/build/mnisyif_resume.pdf b/resumes/build/mnisyif_resume.pdf index 24acaba..41b1fa7 100644 Binary files a/resumes/build/mnisyif_resume.pdf and b/resumes/build/mnisyif_resume.pdf differ diff --git a/resumes/mnisyif_resume.tex b/resumes/mnisyif_resume.tex index 697738b..c0929c5 100644 --- a/resumes/mnisyif_resume.tex +++ b/resumes/mnisyif_resume.tex @@ -82,11 +82,11 @@ \end{tabular*}\vspace{-7pt} } -\newcommand{\resumeSubheading}[4]{ +\newcommand{\resumeSubheading}[3]{ \vspace{-2pt}\item \begin{tabular*}{1.0\textwidth}[t]{l@{\extracolsep{\fill}}r} - \textbf{\color{black} #1} & \textbf{ #2} \\ - \textit{#3} & \textit{ #4} \\ + \textbf{\color{black} #1} & \textbf{ #2}\\ + \textit{#3} \\ \end{tabular*}\vspace{-7pt} } @@ -97,7 +97,6 @@ \end{tabular*}\vspace{-7pt} } - \newcommand{\resumeProjectHeading}[2]{ \vspace{-2pt}\item \begin{tabular*}{1.00\textwidth}{l@{\extracolsep{\fill}}r} @@ -122,115 +121,102 @@ %----------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} +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} \\ + \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} -%-----------SUMMARY---------- -\section{\color{blue}SUMMARY} -Versatile Computer Engineer and Researcher specialized in Semantic Communications and Edge Computing. First author of two IEEE conference papers focused on optimizing edge-cloud communication through task-driven feature extraction. \textbf{Bilingual in English and Arabic}, with expertise in developing high-efficiency AI pipelines for 5G/6G and Smart City infrastructure. Proven track record of reducing bandwidth demand by \textbf{30$\times$} while maintaining 96\% task accuracy in congested network environments - -\vspace{-7pt} - %-----------EDUCATION----------- \section{\color{blue}EDUCATION} -\resumeSubHeadingListStart -\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{MASc. - Computer Engineering}}{Dec 2025} -\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{Apr 2023} -\resumeSubHeadingListEnd + \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}SKILLS \& TECHSTACKS} -\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{Languages: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash \\ - \textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite; PostgresSQL; NumPy; SciPy; Scikit-learn; Matplotlib; MongoDB; Docker; Git; Jenkins; Terraform; AWS; Kubernetes; Express JS; Node.js; Swagger \\ -\end{tabularx} -\vspace{-10pt} +\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{Languages: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash\\ + \textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite; PostgresSQL; NumPy; SciPy; Scikit-learn; Matplotlib; MongoDB; Docker; Git; Jenkins; Terraform; AWS; Kubernetes; Express JS; Node.js; Swagger\\ + \textbf{Languages: } & English (Fluent); Arabic (Fluent) \end{tabularx} + \vspace{-7pt} %----------Experience---------- \section{\color{blue}WORK EXPERIENCE} -\resumeSubHeadingListStart -\resumeSubheading -{Researcher - Machine Learning \& Semantic Communications}{Jan 2024 – Dec 2025} -{University of Guelph}{ Guelph, Ontario} -\resumeItemListStart -\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 (6-core CPU, limited RAM), 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 + \resumeSubHeadingListStart + \resumeSubheading + {Software Engineer—Machine Learning}{Jan 2024 – Aug 2025} + {University of Guelph}{} + \resumeItemListStart + \resumeItem {Developed semantic communication pipelines using Swin Transformer, achieving a 30x reduction in bandwidth utilization and 29\% lower latency while preserving at least 96\% data accuracy post-decoding under variable network conditions} + \resumeItem {Extended the functionality of Swin Transformer to adapt to network conditions and handle anomalies, achieving 80\% lower latency by augmenting it with deterministic log-based algorithms} + \resumeItem {Explored model quantization to deploy and emulate edge device-server environments, achieving realistic emulation and delivering high accuracy simulation reuslts} + \resumeItem {Published as first author findings in IEEE CCECE '24 and MECOM '25, detailing the novel integration of semantic communications in edge-cloud computing systems} + \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 Developer}{Oct 2022 – Oct 2023} + {University of Guelph – Robotics Institute}{} + \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} -\resumeItemListEnd + \resumeSubheading + {Information Technology Analyst}{Jul 2020 – Dec 2020} + {Kitchener Downtown Community Health Center — SRHC}{} + \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} -\resumeSubHeadingListEnd %-----------PROJECTS----------- \section{\color{blue}PROJECTS} -\resumeSubHeadingListStart + \resumeSubHeadingListStart -\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}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}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}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}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}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} 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{-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 (Accepted, IEEE MECOM25)} -\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 + \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}