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%%%%%%  RESUME STARTS HERE  %%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{document}

%----------HEADING----------
\begin{tabular*}{\textwidth}{@{\hspace{-1ex}}l}
    \textbf{\href{http://m.nisyif.com/}{\Huge\color{blue}MURTADHA NISYIF}} \vspace{2pt}\\
    \href{mailto:mnisyif@gmail.com}{\faIcon{at} mnisyif@gmail.com} $|$ 
    \faIcon{phone-square-alt} +1 (519) 502-8463 $|$ 
    \faIcon{map-marker-alt} Ontario, Canada $|$ 
    \href{https://m.nisyif.com/}{\faIcon{user-tie} m.nisyif.com} $|$
    \href{https://www.linkedin.com/in/mnisyif}{\faIcon{linkedin} linkedin.com/ln/mnisyif} $|$
    \href{https://github.com/mnisyif}{\faIcon{github} github.com/mnisyif}\vspace{12pt} \\
\end{tabular*}

\vspace{-20pt}

%-----------SUMMARY----------
\section{\color{blue}SUMMARY}
AI Systems Engineer with expertise intersecting machine learning optimization, real-time distributed software design, and automated deployment infrastructure. Proven track record designing custom simulation environments, benchmarking edge-hardware bottlenecks, and orchestrating containerized continuous integration pipelines to optimize system constraints

\vspace{-7pt}

%-----------EDUCATION-----------
\section{\color{blue}EDUCATION}
\resumeSubHeadingListStart
\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{MASc. - Computer Engineering}}{Dec 2025}
\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng. - Computer Engineering}}{Apr 2023}
\resumeSubHeadingListEnd
% \vspace{-8pt}

%-----------SKILLS-----------
\section{\color{blue}SKILLS \& TECHSTACKS}
\begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X }
	\textbf{Skills: }      & AI Systems; DevOps; Cloud Infrastructure; IaC; Containerization; CI/CD Pipelines; Telemetry Monitoring; Agile/Scrum                                                                                     \\
	\textbf{Languages: }   & Python; C++; C; JavaScript; Rust; HTML; Java; Bash                                                                                                                                                      \\
	\textbf{Tech Stacks: } & PyTorch; Stable-Baselines3; ROS2; Arduino IDE; React; FastAPI; Flask; Jest; PyTest; Docker; Jenkins; Terraform; AWS (EC2, S3); Nginx Proxy Manager; Cloudflare; Prometheus; Grafana; SQLite; PostgreSQL \\
\end{tabularx}
\vspace{-10pt}
% %-----------SKILLS-----------
% \section{\color{blue}SKILLS \& TECHSTACKS}
% \begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X }
% 	% \textbf{Certifications: } & AWS Solutions Architect\\
% 	\textbf{Skills: }      & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops                                                                                      \\
% 	\textbf{Languages: }   & Python; C++; C; JavaScript; Rust; HTML; Java; Bash                                                                                                                                   \\
% 	\textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite; PostgresSQL; NumPy; SciPy; Scikit-learn; Matplotlib; MongoDB; Docker; Git; Jenkins; Terraform; AWS; Kubernetes; Express JS; Node.js; Swagger \\
% \end{tabularx}
% \vspace{-10pt}

%----------Experience----------
\section{\color{blue}WORK EXPERIENCE}
\resumeSubHeadingListStart
\resumeSubheading
{Researcher - Machine Learning \& Semantic Communications}{Jan 2024 – Dec 2025}
{University of Guelph}{ Guelph, Ontario}
\resumeItemListStart
\resumeItem {Isolated and analyzed system bottlenecks across edge-cloud optical fiber networks, identifying a transition from transmission latency constraints to algorithmic compute bottlenecks during model execution}
\resumeItem {Optimized end-to-end latency pipelines utilizing Swin Transformer architectures in PyTorch, establishing benchmarking frameworks to compare transmission times across unquantized, quantized (INT8), and baseline non-transformer data states}
\resumeItem {Programmed an adaptive channel-selection algorithm utilizing logarithmic logic to dynamically scale the number of transmitted image channels based on real-time bandwidth and latency metrics}
\resumeItem {Authored and published peer-reviewed research in IEEE conference proceedings focusing on task-driven feature extraction to mitigate computational and network overhead in edge-cloud architectures}
\resumeItemListEnd

\resumeSubheading
{Software Developer}{Oct 2022 – Oct 2023}
{University of Guelph - Robotics Institute}{ Guelph, Ontario}
\resumeItemListStart
\resumeItem {Developed distributed node architectures for an automated feeding assistant robot within ROS2, writing native C++ and Python nodes to manage core services, topics, and real-time depth-sensor camera data feeds}
\resumeItem {Designed and programmed firmware for an ESP32-based smart mechatronic door system within the Arduino environment, implementing Bluetooth Low Energy (BLE) for local smartphone authentication and Wi-Fi synchronization for backend logging}
\resumeItem {Implemented power-management states within microcontroller firmware to alternate between low-power and normal-power operational modes during continuous field deployments}
\resumeItem {Orchestrated cloud infrastructure provisioning via Terraform, automating the deployment of EC2 instances for application backends/frontends and S3 buckets for media asset management}
\resumeItemListEnd

\resumeSubheading
{Information Technology Analyst}{Jul 2020 – Dec 2020}
{Kitchener Downtown Community Health Center - SRHC}{ Kitchener, Ontario}
\resumeItemListStart
\resumeItem {Configured distributed file architectures using a centralized Samba server, increasing secure data access and distribution efficiency by 40\% across multi-department teams}
\resumeItem {Secured network topography via FortiGate firewall and VPN implementations, supporting 60 active remote users}
\resumeItem {Deployed Prometheus and Grafana monitoring pipelines across a multi-container Docker environment to track system downtime, monitor SSH traffic, and isolate anomalous network activity}
\resumeItemListEnd

\resumeSubHeadingListEnd

%-----------PROJECTS-----------
\section{\color{blue}PROJECTS}
\resumeSubHeadingListStart

\resumeProjectHeading {\textbf{\color{black}Real-Time Audio Filtering RL Environment} $|$ \color{blue} \emph{Python, PyTorch, OpenAI Gym, Stable-Baselines3, SciPy, librosa}}{}
\resumeItemListStart
\resumeItem{Constructed a custom OpenAI Gym audio environment (NoiseReductionEnv) running a frequency-domain control loop via Fast Fourier Transforms (scipy.fft.rfft) to manipulate harmonic scaling coefficients}
\resumeItem{Trained a PPO agent over 10,000 timesteps using an MlpPolicy, minimizing Mean Squared Error (MSE) against clean baseline signals to synthesize sequential 44.1 kHz time-domain outputs}
\resumeItemListEnd

\resumeProjectHeading{\textbf{\color{black}DevOps Server Infrastructure \& CI/CD Pipeline} $|$ \color{blue} \emph{Docker, Jenkins, Nginx Proxy Manager, Cloudflare, PyTest, Jest}}{}
\resumeItemListStart
\resumeItem{Self-hosted a containerized Jenkins automation server to manage continuous integration pipelines across 15+ microservices, executing automated validation via PyTest and Jest}
\resumeItem{Architected a multi-layered proxy topography using Nginx Proxy Manager and Cloudflare to securely route web traffic, isolate runtime endpoints, and automate Let's Encrypt SSL/TLS renewals}
\resumeItemListEnd

\resumeSubHeadingListEnd
\vspace{-7pt}
% %-----------PROJECTS-----------
% \section{\color{blue}PROJECTS}
% \resumeSubHeadingListStart
%
% \resumeProjectHeading {\textbf{\color{black}Home lab Adminstration} $|$ \color{blue} \emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}}{}
% \resumeItemListStart
% \resumeItem{Orchestrate a comprehensive home lab environment managing 15+ Docker containers for media, web, and gaming services, configured auto-renewal SSL/TLS certification with Let’s Encrypt, setup Prometheus/Grafana monitoring, and applied Fail2Ban for robust security achieving 99.9\% uptime and detailed system analytics}
% \resumeItemListEnd
%
% \resumeProjectHeading{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue} \emph{Python, Flask, RESTful, HTML, CSS, JS}}{}
% \resumeItemListStart
% \resumeItem{Developed a scalable Flask-RESTful API paired with an interactive HTML/JS frontend while leveraging the UCI dataset and implemented real-time feature scaling with hyperparameter tuning to deliver a 95\% prediction accuracy, supporting timely clinical decision-making}
% \resumeItemListEnd
%
% \resumeProjectHeading{\textbf{\color{black} Real-Time Noise Cancellation with RL} $|$ \color{blue} \emph{Python, PyTorch, Gymnasium, SciPy, librosa}}{}
% \resumeItemListStart
% \resumeItem{Created a bespoke OpenAI Gym environment incorporating FFT-based audio processing and trained a PPO agent to perform adaptive noise cancellation in real time, achieving processing speeds exceeding 5,200 FPS for high-fidelity audio performance}
% \resumeItemListEnd
% \resumeSubHeadingListEnd
% \vspace{-7pt}

\section{\color{blue}PUBLICATIONS}
\resumeSubHeadingListStart

\resumeProjectHeading
{\textbf{Network-Aware Adaptive Semantic Image Transmission in Edge-Cloud Communications}}{MECOM 2025}
\resumeItemListStart
\resumeItem{Proposed an adaptive JSCC framework that couples Swin-Transformers with real-time network telemetry to optimize image transmission over dynamic 5G/6G core networks (Published, IEEE Xplore)}
\resumeItemListEnd

\resumeProjectHeading
{\textbf{Boosting Edge-to-Cloud Data Transmission Efficiency with Semantic Transcoding}}{CCECE 2024}
\resumeItemListStart
\resumeItem{Utilized transformer-based edge-to-cloud models to achieve a $30\times$ bandwidth reduction and $30\%$ improvement in end-to-end latency for high-speed data systems (Published, IEEE Xplore)}
\resumeItemListEnd
\resumeSubHeadingListEnd

\end{document}