diff --git a/resumes/Murtadha.pdf b/resumes/Murtadha.pdf index e8a5bdb..9f3df5d 100644 Binary files a/resumes/Murtadha.pdf and b/resumes/Murtadha.pdf differ diff --git a/resumes/Murtadha.tex b/resumes/Murtadha.tex index 9da2b9b..94a86ab 100644 --- a/resumes/Murtadha.tex +++ b/resumes/Murtadha.tex @@ -112,11 +112,24 @@ %----------HEADING---------- \begin{tabular*}{\textwidth}{ @{\extracolsep{\fill}}l @{\hspace{-1ex}}l @{\hspace{-1ex}}l} \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} \\ - \emph{\Large } & \faIcon{at} \href{mailto:mnisyif@gmail.com}{mnisyif@gmail.com} & \faIcon{linkedin} \href{https://www.linkedin.com/in/mnisyif/}{linkedin.com/in/mnisyif}\\ + \emph{} & \faIcon{at} \href{mailto:mnisyif@gmail.com}{mnisyif@gmail.com} & \faIcon{linkedin} \href{https://www.linkedin.com/in/mnisyif/}{linkedin.com/in/mnisyif}\\ & \faIcon{phone-square-alt} +1 (519) 502-8463 & \faIcon{github} \href{https://www.github.com/mnisyif}{github.com/mnisyif} \end{tabular*} \vspace{-10pt} +% <<<<<<< HEAD +% ======= +%----------Highlights---------- +\section{\color{blue}Highlights} + \resumeItemListStart + \resumeItem {\textbf{\color{black}IaC \& Pipelines:} Terraform modules plus self-hosted GitLab→Jenkins CI for repeatable build→test→deploy across AWS.\vspace{-5pt}} + \resumeItem {\textbf{\color{black}Containerisation:} Dockerised multi-service stacks; private Harbor registry for image promotion across stages.\vspace{-5pt}} + \resumeItem {Analysed edge→cloud TCP flows with \textbf{Wireshark} and \textbf{iperf3}, guiding socket-buffer tuning for latency studies.\vspace{-5pt}} + \resumeItem {Generated synthetic database traffic with \textbf{iperf3} to stress-test cloud-datacentre paths and tune socket buffers for latency.\vspace{-5pt}} + \resumeItemListEnd +\vspace{-5pt} + +% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6 %----------Experience---------- \section{\color{blue}Relevant Work Experience} \resumeSubHeadingListStart @@ -124,30 +137,51 @@ {Software Engineer - Machine Learning}{Jan 2024 -- Dec 2024} {University of Guelph}{Guelph, Ontario} \resumeItemListStart - \resumeItem {Performed latency data acquisition across diverse hardware setups and executed feature engineering to identify key correlations, enhancing model performance under varying network conditions} - \resumeItem {Designed, implemented, 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 {Deployed Swin Transformer-based models in edge-cloud systems to offload processing from the core network, achieving higher throughput and reducing end-to-end communication latency by up to 29\%, alongside a 30x reduction in network bandwidth utilization} - \resumeItem {Deployed existing PyTorch-based implementations onto Kira SoCs using Vitis AI™, to leverage SoC's hardware acceleration} +% <<<<<<< HEAD +% \resumeItem {Performed latency data acquisition across diverse hardware setups and executed feature engineering to identify key correlations, enhancing model performance under varying network conditions} +% \resumeItem {Designed, implemented, 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 {Deployed Swin Transformer-based models in edge-cloud systems to offload processing from the core network, achieving higher throughput and reducing end-to-end communication latency by up to 29\%, alongside a 30x reduction in network bandwidth utilization} +% \resumeItem {Deployed existing PyTorch-based implementations onto Kira SoCs using Vitis AI™, to leverage SoC's hardware acceleration} +% ======= + \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\%} + \resumeItem {Authored an \textbf{adaptive network-aware module} that tunes compression in real time, ensuring lowest-possible latency under fluctuating link conditions} + \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} + \resumeItem {Containerised encoder, decoder, and a 10 GbE core-network simulator (TCP/IP); profiled round-trip times with iperf3 to verify 29\% latency optimizations} +% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6 \resumeItemListEnd \resumeSubheading {Software Developer}{Oct 2022 -- Oct 2023} {University of Guelph - Robotics Institute}{Guelph, Ontario} \resumeItemListStart - \resumeItem {Implemented a server-client backend system for an Assistive Robotic Feeding System in ROS2, utilizing Python and C++ packages to integrate robotic components with system software} - \resumeItem {Designed and deployed a wheelchair-friendly smart door system with geo-fencing and automated operations, leveraging ESP32 microprocessors, PIR sensors, and smartphone control via a React Native app, showcasing systems integration} - \resumeItem {Enhanced and maintained the smart door system's full-stack codebase, including a Node.js backend, React Native app, and Vue Dashboard, incorporating advanced features like voice recognition and passive BLE scanning and real-time user analytics for seamless user experience} - \resumeItem {Deployed scalable, reliable full-stack app on AWS EC2 instances and S3 storage using Terraform for Infrastructure as Code (IaC), and Jenkins for CI/CD cloud infrastructure and automated deployment} +% <<<<<<< HEAD +% \resumeItem {Implemented a server-client backend system for an Assistive Robotic Feeding System in ROS2, utilizing Python and C++ packages to integrate robotic components with system software} +% \resumeItem {Designed and deployed a wheelchair-friendly smart door system with geo-fencing and automated operations, leveraging ESP32 microprocessors, PIR sensors, and smartphone control via a React Native app, showcasing systems integration} +% \resumeItem {Enhanced and maintained the smart door system's full-stack codebase, including a Node.js backend, React Native app, and Vue Dashboard, incorporating advanced features like voice recognition and passive BLE scanning and real-time user analytics for seamless user experience} +% \resumeItem {Deployed scalable, reliable full-stack app on AWS EC2 instances and S3 storage using Terraform for Infrastructure as Code (IaC), and Jenkins for CI/CD cloud infrastructure and automated deployment} +% ======= + \resumeItem {Packaged the complete ROS2, Node.js, and Vue stack into versioned \textbf{Docker images} for clean reproducibility across development and test rigs} + \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} + \resumeItem {Implemented \textbf{Let's Encrypt auto-renewal} and Nginx reverse-proxy routing, adding HTTPS and CORS hardening without manual intervention} + \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} +% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6 \resumeItemListEnd \resumeSubheading {Information Technology Analyst}{Jul 2020 -- Dec 2020} - {Kitchener Downtown Community Health Centre - SRHC}{Kitchener, Ontario} + {Kitchener Downtown Community Health Center - SRHC}{Kitchener, Ontario} \resumeItemListStart - \resumeItem {Designed and implemented a scalable on-premise file-sharing system using Samba, eliminating email-based file exchanges} - \resumeItem {Configured and managed Fortinet's FortiGate firewall and VPN to ensure secure and reliable network communication, improving the team's remote workflow} - \resumeItem {Streamlined communication between doctors and patients by optimizing the 3CX PBX phone system's answering machine workflow, reducing patients' on-phone waiting times by 30\%} - \resumeItem {Led a comprehensive network infrastructure upgrade, focusing on hardware improvements including network switches, storage servers, and computer hardware, achieving 45\% budget savings while modernizing systems to meet organizational performance and security standards} +% <<<<<<< HEAD +% \resumeItem {Designed and implemented a scalable on-premise file-sharing system using Samba, eliminating email-based file exchanges} +% \resumeItem {Configured and managed Fortinet's FortiGate firewall and VPN to ensure secure and reliable network communication, improving the team's remote workflow} +% \resumeItem {Streamlined communication between doctors and patients by optimizing the 3CX PBX phone system's answering machine workflow, reducing patients' on-phone waiting times by 30\%} +% \resumeItem {Led a comprehensive network infrastructure upgrade, focusing on hardware improvements including network switches, storage servers, and computer hardware, achieving 45\% budget savings while modernizing systems to meet organizational performance and security standards} +% ======= + \resumeItem {Designed a Samba-based file-share to replace e-mail transfers, boosting staff file-access speed by $\sim$40\%} + \resumeItem {Configured and maintained \textbf{FortiGate firewall + VPN} for 60 remote users; drafted monitoring proof-of-concept in Prometheus before hand-off} + \resumeItem {Optimized the 3CX PBX workflow, cutting patient on-hold times by 30 \%} + \resumeItem {Led a hardware refresh (switches, servers, workstations) that met security targets while saving 45 \% against budget} +% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6 \resumeItemListEnd \resumeSubHeadingListEnd @@ -155,33 +189,47 @@ %-----------SKILLS----------- \section{\color{blue}Skills} \begin{tabular}{ @{} >{\bfseries}l @{\hspace{1.2ex}}l} - \textbf{\color{black}Languages:} & C/C++, Python, Rust, Java, SQL, Bash, JavaScript, HTML, CSS, CMake \\ - \textbf{\color{black}Frameworks:} & PyTorch, TensorFlow, Node.js, React, Express.js, ROS \\ +% <<<<<<< HEAD +% \textbf{\color{black}Languages:} & C/C++, Python, Rust, Java, SQL, Bash, JavaScript, HTML, CSS, CMake \\ +% \textbf{\color{black}Frameworks:} & PyTorch, TensorFlow, Node.js, React, Express.js, ROS \\ - \textbf{\color{black}Cloud and DevOps:} & AWS, Docker, Kubernetes, Terraform, Jenkins, PostgreSQL, MongoDB, SQLite \\ - \textbf{\color{black}Tools and Protocols:} & Git, Postman, Flask, Swagger, Jira, CMake, HTTP, TCP \\ +% \textbf{\color{black}Cloud and DevOps:} & AWS, Docker, Kubernetes, Terraform, Jenkins, PostgreSQL, MongoDB, SQLite \\ +% \textbf{\color{black}Tools and Protocols:} & Git, Postman, Flask, Swagger, Jira, CMake, HTTP, TCP \\ +% ======= + \textbf{\color{black}Languages:} & C/C++, Python, Rust, Java, SQL, Bash, JavaScript, HTML, CSS, CMake \\ + \textbf{\color{black}Frameworks:} & PyTorch, TensorFlow, Node.js, React, Express.js, ROS \\ + \textbf{\color{black}Cloud and DevOps:} & AWS, Azure, Docker, Kubernetes, Terraform, Jenkins, PostgreSQL, MongoDB, SQLite \\ + \textbf{\color{black}Tools and Protocols:} & Git, GitHub, Postman, Flask, Swagger, Jira, HTTP, TCP/IP, UDP, MQTT, iperf3 \\ +% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6 \end{tabular} \vspace{-8pt} - %-----------PROJECTS----------- \section{\color{blue}Projects} \resumeSubHeadingListStart \resumeSubItem{\textbf{\color{black}Full-stack application}} {Built and Dockerized a full-stack portfolio using React and Java (microservices architecture), hosting it on a home server via a Jenkins CI/CD pipeline and Minio S3 bucket} +% <<<<<<< HEAD +% \resumeSubItem{\textbf{\color{black}DevOps Homelab}} +% {Setup dockerized applications, virtual machines, and Kubernetes clusters sing Terraform scripts. Managed personal Jenkins CI/CD pipelines, and implemented Ceph for distributed storage} + +% \resumeSubItem{\textbf{\color{black}RL Dynamic Noise Cancelling:}} +% {Implemented real-time Automatic Noise Filtering using Reinforcement Learning and Dynamic Sparse Training in PyTorch} + +% %\resumeSubItem{\textbf{\color{black}Real-Time Text-to-Braille:}} +% % {Built a Raspberry Pi device for real-time image-to-Braille conversion, enhancing accessibility for the deaf-blind community} + +% \resumeSubHeadingListEnd +% \vspace{-8pt} + +% ======= \resumeSubItem{\textbf{\color{black}DevOps Homelab}} {Setup dockerized applications, virtual machines, and Kubernetes clusters sing Terraform scripts. Managed personal Jenkins CI/CD pipelines, and implemented Ceph for distributed storage} - - \resumeSubItem{\textbf{\color{black}RL Dynamic Noise Cancelling:}} - {Implemented real-time Automatic Noise Filtering using Reinforcement Learning and Dynamic Sparse Training in PyTorch} - - %\resumeSubItem{\textbf{\color{black}Real-Time Text-to-Braille:}} - % {Built a Raspberry Pi device for real-time image-to-Braille conversion, enhancing accessibility for the deaf-blind community} - \resumeSubHeadingListEnd - \vspace{-8pt} + \vspace{-10pt} +% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6 %-----------EDUCATION----------- \section{\color{blue}Education} \resumeSubHeadingListStart @@ -191,14 +239,4 @@ \resumeSubHeadingListEnd \vspace{-8pt} -%---------Publications--------- -% \section{\color{blue}Publications} -% \resumeSubHeadingListStart -% \resumeSubheading -% {Boosting Edge-to-Cloud Data Transmission Efficiency with Semantic Transcoding}{} -% {Published @ IEEE CCECE (Aug 2024)}{} -% \resumeItemListStart -% \resumeItem {Explored a novel approach to incorporate semantic transcoding in edge-cloud system to reduce data latency rates} -% \resumeItemListEnd -% \resumeSubHeadingListEnd \end{document}