Update resume for Fall 2024

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Murtadha 2024-07-17 17:02:02 -04:00
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% Sections formatting
\titleformat{\section}{
\vspace{-4pt}\scshape\raggedright \fontsize{14}{11} \bfseries
\vspace{-4pt}\scshape\raggedright \fontsize{12}{10} \bfseries
}{}{0em}{}[\color{blue}\titlerule \vspace{-5pt}]
% Ensure that generate pdf is machine readable/ATS parsable
@ -98,25 +98,17 @@
%----------HEADING----------
\begin{tabular*}{\textwidth}{ @{\extracolsep{\fill}}l @{\hspace{-1ex}}l @{\hspace{-1ex}}l}
\textbf{\href{http://mnisyif.com/}{\huge\color{blue}Murtadha Saeed Nisyif}} & \faIcon{map-marker-alt} Kitchener, Ontario, Canada & \faIcon{link} \href{https://mnisyif.com/}{mnisyif.com} \\
Computer Engineering Undergraduate & \faIcon{at} \href{mailto:mnisyif@gmail.com}{mnisyif@gmail.com} & \faIcon{linkedin} \href{https://www.linkedin.com/in/mnisyif/}{linkedin.com/in/mnisyif}\\
\textbf{\href{http://mnisyif.com/}{\huge\color{blue}Murtadha Saeed Nisyif}} & \faIcon{map-marker-alt} Ontario, Canada & \faIcon{link} \href{https://mnisyif.com/}{mnisyif.com} \\
\emph{Software Engineer} & \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} Summary}
% \resumeItemListStart
% \resumeItem {Demonstrated expertise in leading successful projects that enhance system accessibility and proposing innovative architectures}\vspace{-5pt}
% \resumeItem {Lead developer in real-time projects, including a Text-to-Braille Real-Time Converter and a real-time security system}\vspace{-5pt}
% \resumeItem {Strong leader with a track record of design competition victories, winning \$2,000 for a medical test automation project} \vspace{-5pt}
% \resumeItemListEnd
% \vspace{-8pt}
\section{\color{blue}Relevant Work Experience}
%----------Experience----------
\section{\color{blue}Relevant Work Experience}
\resumeSubHeadingListStart
\resumeSubheading
{Graduate Researcher}{Jan 2024 -- Dec 2024}
{Software Engineer - Research Assistant}{Jan 2024 -- Dec 2024}
{University of Guelph}{Guelph, Ontario}
\resumeItemListStart
\resumeItem {Conducted research on the application of transformer-based models for semantic data transmission in end-to-end (E2E) communications}
@ -151,55 +143,48 @@
\resumeSubHeadingListEnd
%-----------SKILLS-----------
\section{\color{blue}Skills}
\begin{tabular}{ @{} >{\bfseries}l @{\hspace{3ex}}l }
%\textbf{\color{black} Hard Skills:} & Object Oriented Design, Version Control, Software Testing And Debugging, Microprocessor \\&Architecture Design, Digital Signal Processing \\
\small\textbf{\color{black}Languages:} &\small C/C++/C\#, Python, JavaScript, Java, HTML, MATLAB, CSS\\
\small\textbf{\color{black}Frameworks:} &\small PyTorch, Node.JS, React JS, Express JS, .NET, TensorFlow, ROS, Django \\
\small\textbf{\color{black}Databases:} &\small MongoDB, MySQL, SQLite, MSSQL \\
\small\textbf{\color{black}Other:} &\small Docker, AWS, Kubernetes, Git, Postman, Flask, Swagger, WoodPecker CI, HTTP, TCP, Xilinix, CMake \\
%\textbf{\color{black}Dev Env:} &Android Studio, Xcode, Unix, Visual Studio, Jupyter Notebook \\
\end{tabular}
\vspace{-8pt}
%-----------PROJECTS-----------
\section{\color{blue}Projects}
\resumeSubHeadingListStart
\resumeProjectHeading
{\textbf{\color{black}Transformer-based Semantic Data Transmission} $|$ \color{blue}\emph{Git, PyTorch, KD-SDK, C, Python}}{}
{\textbf{\color{black}Transformer-based Semantic Data Transmission}}{}
\resumeItemListStart
\resumeItem{Explored the use of transformer-based models for semantic communications in E2E networks. Developed and trained models using PyTorch and demonstrated practical implementation on Xilinx KD-240 and KD-260 SoC boards}
\resumeItem{Achieved 20\% lower latencies, highlighting the potential of transformer models in improving data transmission quality and efficiency in communication systems}
\resumeItem{Explored the use of transformer-based models for semantic transcoding in E2E networks. Developed and trained models using PyTorch and demonstrated practical implementation on Xilinx SoC boards using Vitis AI interface}
\resumeItemListEnd
\resumeProjectHeading
{\textbf{\color{black}Homelab with Self-Hosted Services} $|$ \color{blue}\emph{Git, Docker, Linux, Kubernetes, PostgreSQL, React, HTML, JS}}{}
{\textbf{\color{black}Homelab with Self-Hosted Services}}{}
\resumeItemListStart
\resumeItem{Managed and maintained a wide variety of applications deployed in Docker containers, ensuring efficient resource utilization and isolation}
\resumeItem{Incorporated load distribution methods using Kubernetes to balance workloads and enhance application availability and scalability}
\resumeItem{Managed and maintained a wide variety of applications deployed in Docker containers and Kubernetes, ensuring efficient resource utilization and isolation}
\resumeItemListEnd
\resumeProjectHeading
{\textbf{\color{black}Dynamic Noise Cancelling with RL} $|$ \color{blue} \emph{Python, PyTorch}}{}
{\textbf{\color{black}Dynamic Noise Cancelling with RL}}{}
\resumeItemListStart
\resumeItem{Implemented a voice noise cancellation solution using Reinforcement Learning and Dynamic Sparse Training to improve system accuracy and adaptability}
\resumeItem{Adapted an Automatic Noise Filtering algorithm for real-time application, providing significant improvements in voice clarity in varied noise environments}
\resumeItem{Adapted an Automatic Noise Filtering algorithm for real-time application using Reinforcement Learning and Dynamic Sparse Training in PyTorch, providing significant improvements in voice clarity in varied noise environments}
\resumeItemListEnd
\resumeProjectHeading
{\textbf{\color{black}Text-to-Braille Real-Time Converter} $|$ \color{blue} \emph{Python, Git, Eagle}}{}
{\textbf{\color{black}Text-to-Braille Real-Time Converter}}{}
\resumeItemListStart
\resumeItem{Powered by a Raspberry Pi, the device performs complex operations including extracting text from images captured by a camera module integrated at the bottom of the device}
\resumeItem{Designed and developed a braille-display for deaf-blind individuals, addressing various technical aspects and ensuring the system is accessible and exceeds user expectations}
\resumeItem{Powered by a Raspberry Pi, the device performs complex operations including extracting text from images captured by a camera module to ensure accessible and user-friendly braille reading experience for deaf-blind community members}
\resumeItemListEnd
% \resumeProjectHeading
% {\textbf{\color{black}Program Counter CMOS-Based Integrated Circuit} $|$ \color{blue} \emph{Cadence, Jira, Linux}}{}
% \resumeItemListStart
% \resumeItem{Designed an optimized CMOS-based program counter by applying concepts like fanout and delay calculations}
% \resumeItem{Validated functionality using industry-grade simulation tools, following a modular, hierarchical design approach}
% \resumeItemListEnd
% \resumeProjectHeading
% {\textbf{\color{black}Real-Time Security System} $|$ \color{blue} \emph{STM32, FreeRTOS, uC-OS III}}{}
% \resumeItemListStart
% \resumeItem{Developed a real-time security system using an STM32f429 development board, FHD camera, and PIR motion sensor}
% \resumeItem{Utilized concepts like semaphores and interrupts to achieve rapid response times of 50 ms}
% \resumeItemListEnd
\resumeProjectHeading
{\textbf{\color{black}ZAMAZ UTI Diagnosis - Image Processor} $|$ \color{blue}\emph{Python, NumPy, SciPy, Matplotlib}}{}
{\textbf{\color{black}ZAMAZ UTI Diagnosis - Image Processor}}{}
\resumeItemListStart
\resumeItem{Created a software system to automate urine test readouts using image analysis and pixel calculations}
\resumeItem{Delivered a solution 16x faster than the gold standard, winning a \$2,000 prize in a competition among 50+ teams}
\resumeItem{Created a software system powered by a Raspberry Pi, to automate urine test readouts using image analysis and pixel calculations delivering a solution 16x faster than the gold standard}
\resumeItemListEnd
\resumeSubHeadingListEnd
\vspace{-8pt}
@ -208,26 +193,23 @@
\section{\color{blue}Education}
\resumeSubHeadingListStart
\resumeSubheading
{University of Guelph | MASc.}{Sep 2023 -- Aug 2025}
{University of Guelph $|$ \color{blue} \emph{MASc.}}{Sep 2023 -- Dec 2024}
{Masters of Applied Science in Computer Engineering}{Guelph, Ontario}
\resumeItemListStart
\resumeItem{Research Focus: Exploring and incorporating transformer-based models for semantic data transmission in end-to-end (E2E) communications}
\resumeItemListEnd
\resumeSubheading
{University of Guelph | BEng.}{Sep 2019 -- May 2023}
{University of Guelph $|$ \color{blue} \emph{B.Eng.}}{Sep 2019 -- May 2023}
{Bachelor of Engineering: Major in Computer Engineering, Minor in Computer Science}{Guelph, Ontario}
\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 {Developed semantic communication techniques, reducing edge-to-cloud latency by up to 30\%, and implemented transformer-based models to enhance data relevance and transmission efficiency}
% % \resumeItem {Implemented transformer-based models to enhance data relevance and network efficiency}
% \resumeItemListEnd
% \resumeSubHeadingListEnd
%---------Publications---------
\section{\color{blue}Publications}
\resumeSubHeadingListStart
\resumeSubheading
{Boosting Edge-to-Cloud Data Transmission Efficiency with Semantic Transcoding}{}
{Published @ IEEE CCECE (Aug 2024)}{}
\resumeItemListStart
\resumeItem {Developed semantic communication techniques, reducing edge-to-cloud latency by up to 20\%, and implemented transformer-based models to enhance data relevance and transmission efficiency}
% \resumeItem {Implemented transformer-based models to enhance data relevance and network efficiency}
\resumeItemListEnd
\resumeSubHeadingListEnd
\end{document}