conflict: Merge conflict branches
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2 changed files with 75 additions and 37 deletions
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@ -112,11 +112,24 @@
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%----------HEADING----------
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\begin{tabular*}{\textwidth}{ @{\extracolsep{\fill}}l @{\hspace{-1ex}}l @{\hspace{-1ex}}l}
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\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} \\
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\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}\\
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\emph{} & \faIcon{at} \href{mailto:mnisyif@gmail.com}{mnisyif@gmail.com} & \faIcon{linkedin} \href{https://www.linkedin.com/in/mnisyif/}{linkedin.com/in/mnisyif}\\
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& \faIcon{phone-square-alt} +1 (519) 502-8463 & \faIcon{github} \href{https://www.github.com/mnisyif}{github.com/mnisyif}
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\end{tabular*}
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\vspace{-10pt}
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% <<<<<<< HEAD
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% =======
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%----------Highlights----------
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\section{\color{blue}Highlights}
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\resumeItemListStart
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\resumeItem {\textbf{\color{black}IaC \& Pipelines:} Terraform modules plus self-hosted GitLab→Jenkins CI for repeatable build→test→deploy across AWS.\vspace{-5pt}}
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\resumeItem {\textbf{\color{black}Containerisation:} Dockerised multi-service stacks; private Harbor registry for image promotion across stages.\vspace{-5pt}}
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\resumeItem {Analysed edge→cloud TCP flows with \textbf{Wireshark} and \textbf{iperf3}, guiding socket-buffer tuning for latency studies.\vspace{-5pt}}
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\resumeItem {Generated synthetic database traffic with \textbf{iperf3} to stress-test cloud-datacentre paths and tune socket buffers for latency.\vspace{-5pt}}
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\resumeItemListEnd
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\vspace{-5pt}
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% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6
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%----------Experience----------
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\section{\color{blue}Relevant Work Experience}
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\resumeSubHeadingListStart
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@ -124,30 +137,51 @@
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{Software Engineer - Machine Learning}{Jan 2024 -- Dec 2024}
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{University of Guelph}{Guelph, Ontario}
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\resumeItemListStart
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\resumeItem {Performed latency data acquisition across diverse hardware setups and executed feature engineering to identify key correlations, enhancing model performance under varying network conditions}
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\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}
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\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}
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\resumeItem {Deployed existing PyTorch-based implementations onto Kira SoCs using Vitis AI™, to leverage SoC's hardware acceleration}
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% <<<<<<< HEAD
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% \resumeItem {Performed latency data acquisition across diverse hardware setups and executed feature engineering to identify key correlations, enhancing model performance under varying network conditions}
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% \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}
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% \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}
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% \resumeItem {Deployed existing PyTorch-based implementations onto Kira SoCs using Vitis AI™, to leverage SoC's hardware acceleration}
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% =======
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\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\%}
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\resumeItem {Authored an \textbf{adaptive network-aware module} that tunes compression in real time, ensuring lowest-possible latency under fluctuating link conditions}
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\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}
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\resumeItem {Containerised encoder, decoder, and a 10 GbE core-network simulator (TCP/IP); profiled round-trip times with iperf3 to verify 29\% latency optimizations}
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% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6
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\resumeItemListEnd
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\resumeSubheading
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{Software Developer}{Oct 2022 -- Oct 2023}
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{University of Guelph - Robotics Institute}{Guelph, Ontario}
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\resumeItemListStart
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\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}
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\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}
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\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}
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\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}
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% <<<<<<< HEAD
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% \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}
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% \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}
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% \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}
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% \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}
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% =======
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\resumeItem {Packaged the complete ROS2, Node.js, and Vue stack into versioned \textbf{Docker images} for clean reproducibility across development and test rigs}
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\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}
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\resumeItem {Implemented \textbf{Let's Encrypt auto-renewal} and Nginx reverse-proxy routing, adding HTTPS and CORS hardening without manual intervention}
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\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}
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% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6
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\resumeItemListEnd
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\resumeSubheading
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{Information Technology Analyst}{Jul 2020 -- Dec 2020}
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{Kitchener Downtown Community Health Centre - SRHC}{Kitchener, Ontario}
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{Kitchener Downtown Community Health Center - SRHC}{Kitchener, Ontario}
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\resumeItemListStart
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\resumeItem {Designed and implemented a scalable on-premise file-sharing system using Samba, eliminating email-based file exchanges}
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\resumeItem {Configured and managed Fortinet's FortiGate firewall and VPN to ensure secure and reliable network communication, improving the team's remote workflow}
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\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\%}
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\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}
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% <<<<<<< HEAD
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% \resumeItem {Designed and implemented a scalable on-premise file-sharing system using Samba, eliminating email-based file exchanges}
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% \resumeItem {Configured and managed Fortinet's FortiGate firewall and VPN to ensure secure and reliable network communication, improving the team's remote workflow}
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% \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\%}
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% \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}
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% =======
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\resumeItem {Designed a Samba-based file-share to replace e-mail transfers, boosting staff file-access speed by $\sim$40\%}
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\resumeItem {Configured and maintained \textbf{FortiGate firewall + VPN} for 60 remote users; drafted monitoring proof-of-concept in Prometheus before hand-off}
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\resumeItem {Optimized the 3CX PBX workflow, cutting patient on-hold times by 30 \%}
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\resumeItem {Led a hardware refresh (switches, servers, workstations) that met security targets while saving 45 \% against budget}
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% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6
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\resumeItemListEnd
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\resumeSubHeadingListEnd
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@ -155,33 +189,47 @@
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%-----------SKILLS-----------
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\section{\color{blue}Skills}
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\begin{tabular}{ @{} >{\bfseries}l @{\hspace{1.2ex}}l}
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\textbf{\color{black}Languages:} & C/C++, Python, Rust, Java, SQL, Bash, JavaScript, HTML, CSS, CMake \\
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\textbf{\color{black}Frameworks:} & PyTorch, TensorFlow, Node.js, React, Express.js, ROS \\
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% <<<<<<< HEAD
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% \textbf{\color{black}Languages:} & C/C++, Python, Rust, Java, SQL, Bash, JavaScript, HTML, CSS, CMake \\
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% \textbf{\color{black}Frameworks:} & PyTorch, TensorFlow, Node.js, React, Express.js, ROS \\
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\textbf{\color{black}Cloud and DevOps:} & AWS, Docker, Kubernetes, Terraform, Jenkins, PostgreSQL, MongoDB, SQLite \\
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\textbf{\color{black}Tools and Protocols:} & Git, Postman, Flask, Swagger, Jira, CMake, HTTP, TCP \\
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% \textbf{\color{black}Cloud and DevOps:} & AWS, Docker, Kubernetes, Terraform, Jenkins, PostgreSQL, MongoDB, SQLite \\
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% \textbf{\color{black}Tools and Protocols:} & Git, Postman, Flask, Swagger, Jira, CMake, HTTP, TCP \\
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% =======
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\textbf{\color{black}Languages:} & C/C++, Python, Rust, Java, SQL, Bash, JavaScript, HTML, CSS, CMake \\
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\textbf{\color{black}Frameworks:} & PyTorch, TensorFlow, Node.js, React, Express.js, ROS \\
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\textbf{\color{black}Cloud and DevOps:} & AWS, Azure, Docker, Kubernetes, Terraform, Jenkins, PostgreSQL, MongoDB, SQLite \\
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\textbf{\color{black}Tools and Protocols:} & Git, GitHub, Postman, Flask, Swagger, Jira, HTTP, TCP/IP, UDP, MQTT, iperf3 \\
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% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6
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\end{tabular}
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\vspace{-8pt}
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%-----------PROJECTS-----------
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\section{\color{blue}Projects}
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\resumeSubHeadingListStart
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\resumeSubItem{\textbf{\color{black}Full-stack application}}
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{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}
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% <<<<<<< HEAD
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% \resumeSubItem{\textbf{\color{black}DevOps Homelab}}
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% {Setup dockerized applications, virtual machines, and Kubernetes clusters sing Terraform scripts. Managed personal Jenkins CI/CD pipelines, and implemented Ceph for distributed storage}
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% \resumeSubItem{\textbf{\color{black}RL Dynamic Noise Cancelling:}}
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% {Implemented real-time Automatic Noise Filtering using Reinforcement Learning and Dynamic Sparse Training in PyTorch}
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% %\resumeSubItem{\textbf{\color{black}Real-Time Text-to-Braille:}}
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% % {Built a Raspberry Pi device for real-time image-to-Braille conversion, enhancing accessibility for the deaf-blind community}
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% \resumeSubHeadingListEnd
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% \vspace{-8pt}
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% =======
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\resumeSubItem{\textbf{\color{black}DevOps Homelab}}
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{Setup dockerized applications, virtual machines, and Kubernetes clusters sing Terraform scripts. Managed personal Jenkins CI/CD pipelines, and implemented Ceph for distributed storage}
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\resumeSubItem{\textbf{\color{black}RL Dynamic Noise Cancelling:}}
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{Implemented real-time Automatic Noise Filtering using Reinforcement Learning and Dynamic Sparse Training in PyTorch}
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%\resumeSubItem{\textbf{\color{black}Real-Time Text-to-Braille:}}
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% {Built a Raspberry Pi device for real-time image-to-Braille conversion, enhancing accessibility for the deaf-blind community}
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\resumeSubHeadingListEnd
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\vspace{-8pt}
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\vspace{-10pt}
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% >>>>>>> 798872e532e20be251eb80d2fcd93a480c63e4e6
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%-----------EDUCATION-----------
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\section{\color{blue}Education}
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\resumeSubHeadingListStart
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@ -191,14 +239,4 @@
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\resumeSubHeadingListEnd
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\vspace{-8pt}
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%---------Publications---------
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% \section{\color{blue}Publications}
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% \resumeSubHeadingListStart
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% \resumeSubheading
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% {Boosting Edge-to-Cloud Data Transmission Efficiency with Semantic Transcoding}{}
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% {Published @ IEEE CCECE (Aug 2024)}{}
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% \resumeItemListStart
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% \resumeItem {Explored a novel approach to incorporate semantic transcoding in edge-cloud system to reduce data latency rates}
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% \resumeItemListEnd
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% \resumeSubHeadingListEnd
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\end{document}
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