diff --git a/resumes/Murtadha.pdf b/resumes/Murtadha.pdf index 9f3df5d..1f49483 100644 Binary files a/resumes/Murtadha.pdf and b/resumes/Murtadha.pdf differ diff --git a/resumes/Murtadha.tex b/resumes/Murtadha.tex index 94a86ab..ed60989 100644 --- a/resumes/Murtadha.tex +++ b/resumes/Murtadha.tex @@ -117,10 +117,8 @@ \end{tabular*} \vspace{-10pt} -% <<<<<<< HEAD -% ======= %----------Highlights---------- -\section{\color{blue}Highlights} +\section{\color{blue}DevOps \& Cloud 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}} @@ -129,7 +127,6 @@ \resumeItemListEnd \vspace{-5pt} -% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6 %----------Experience---------- \section{\color{blue}Relevant Work Experience} \resumeSubHeadingListStart @@ -137,51 +134,30 @@ {Software Engineer - Machine Learning}{Jan 2024 -- Dec 2024} {University of Guelph}{Guelph, Ontario} \resumeItemListStart -% <<<<<<< 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 -% <<<<<<< 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 Center - SRHC}{Kitchener, Ontario} \resumeItemListStart -% <<<<<<< 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 @@ -189,18 +165,10 @@ %-----------SKILLS----------- \section{\color{blue}Skills} \begin{tabular}{ @{} >{\bfseries}l @{\hspace{1.2ex}}l} -% <<<<<<< 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}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} @@ -209,27 +177,11 @@ \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} \resumeSubHeadingListEnd \vspace{-10pt} -% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6 %-----------EDUCATION----------- \section{\color{blue}Education} \resumeSubHeadingListStart