diff --git a/resumes/Murtadha.pdf b/resumes/Murtadha.pdf index 619ce3f..e8a5bdb 100644 Binary files a/resumes/Murtadha.pdf and b/resumes/Murtadha.pdf differ diff --git a/resumes/Murtadha.tex b/resumes/Murtadha.tex index f3b92c1..9da2b9b 100644 --- a/resumes/Murtadha.tex +++ b/resumes/Murtadha.tex @@ -112,55 +112,55 @@ %----------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} \\ - & \faIcon{at} \href{mailto:mnisyif@gmail.com}{mnisyif@gmail.com} & \faIcon{linkedin} \href{https://www.linkedin.com/in/mnisyif/}{linkedin.com/in/mnisyif}\\ + \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}\\ & \faIcon{phone-square-alt} +1 (519) 502-8463 & \faIcon{github} \href{https://www.github.com/mnisyif}{github.com/mnisyif} \end{tabular*} \vspace{-10pt} -%------------Summary----------- -\section{\color{blue}Professional Summary} - Results-driven Engineer with 2+ years of experience designing, automating and maintaining robust infrastructure and CI$\backslash$CD pipelines. Proven ability to deploy container-based workloads using Kubernetes and Docker, and to implement reliable automation with Terraform and Python/Bash scripting. Familiar with Ansible, Helm and OpenShift through personal projects. Billingual in Arabic (native) and English (fluent) - %----------Experience---------- -\section{\color{blue}Professional Experience} +\section{\color{blue}Relevant Work Experience} \resumeSubHeadingListStart \resumeSubheading {Software Engineer - Machine Learning}{Jan 2024 -- Dec 2024} {University of Guelph}{Guelph, Ontario} \resumeItemListStart - \resumeItem {Designed and maintained Kubernetes clusters for edge-cloud deployment of SwinJSCC Transformer models, reducing end-to-end latency by 29\% and network bandwidth usage by 30\%} - \resumeItem {Built automated CI$\backslash$CD pipelines in GitLab and Jenkins, integrating Docker containers and custom scripts for seamless model updates and rollbacks} - \resumeItem {Developed Python/Bash scripts for system patching, security hardening and automated backup prcedures across linux environments} + \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} \resumeItemListEnd \resumeSubheading - {Software Developer - Robotics and Full-stack}{Oct 2022 -- Oct 2023} + {Software Developer}{Oct 2022 -- Oct 2023} {University of Guelph - Robotics Institute}{Guelph, Ontario} \resumeItemListStart - \resumeItem {Implemented ROS2-based server-client architecture and a utomated deployment pipelines using Docker and Terraform on AWS EC2} - \resumeItem {Provisioned and configured IoT devices (ESP32) and linux servers with custom Bash scripts to ensure reproducible environments} - \resumeItem {Orchestrated CI$\backslash$CD for React Native and Node.js application via Jenkins, enabling zero-downtime releases and reliable rollback strategies} + \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} \resumeItemListEnd \resumeSubheading {Information Technology Analyst}{Jul 2020 -- Dec 2020} {Kitchener Downtown Community Health Centre - SRHC}{Kitchener, Ontario} \resumeItemListStart - \resumeItem {Adminstered Linux servers, Samba file shares and Fortigate firewall/VPN configurations, strengthening network security and remote access availability} - \resumeItem {Automated backup and redundancy strategies with shell scritps, reducing recovery time objectives (RTO) by 40\%} - \resumeItem {Led troubleshooting for system alerts and support tickets, achieving 95\% SLA compliance for incident resolution} + \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} \resumeItemListEnd \resumeSubHeadingListEnd %-----------SKILLS----------- -\section{\color{blue}Technical Skills} - \begin{tabular}{ @{} >{\bfseries}l @{\hspace{1.2ex}}l} + \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 \\ - \textbf{\color{black}Cloud and DevOps:} & AWS, Docker, Kubernetes, Terraform, Jenkins, PostgreSQL, MongoDB, SQLite \\ - \textbf{\color{black}Tools and Protocols:} & Git, Grafana, Prometheus, Postman, Flask, Swagger, Jira, CMake, HTTP, TCP \\ - \end{tabular} + + \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 \\ + \end{tabular} \vspace{-8pt} @@ -168,27 +168,37 @@ \section{\color{blue}Projects} \resumeSubHeadingListStart \resumeSubItem{\textbf{\color{black}Full-stack application}} - {Built microservices-based Java backend and React frontend; containerized with Docker and deployed via self-hosted Jenkins pipeline} + {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} \resumeSubItem{\textbf{\color{black}DevOps Homelab}} - {Automated multi-node Kubernetes clusters with Terraform and deployed CI$\backslash$CD pipelines using GitLab and Jenkins} + {Setup dockerized applications, virtual machines, and Kubernetes clusters sing Terraform scripts. Managed personal Jenkins CI/CD pipelines, and implemented Ceph for distributed storage} - \resumeSubHeadingListEnd + \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} -\section{\color{blue}Certifications} - \resumeSubHeadingListStart - \resumeSchoolItem{Certified Kubernetes Adminstrator (CKA) $|$ \color{blue} \emph{In progress}}{} - \resumeSchoolItem{AWS Solutions Architect $|$ \color{blue} \emph{Nov 2024}}{} - \resumeSubHeadingListEnd - \vspace{-8pt} - -%-----------EDUCATION----------- + %-----------EDUCATION----------- \section{\color{blue}Education} \resumeSubHeadingListStart \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{MASc. - Computer Engineering}}{} \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Comp. - Computer Science}}{} \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{} \resumeSubHeadingListEnd - \vspace{-8pt} +\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}