diff --git a/resumes/build/mnisyif_resume_en.pdf b/resumes/build/mnisyif_resume_en.pdf index 0edc37e..2482325 100644 Binary files a/resumes/build/mnisyif_resume_en.pdf and b/resumes/build/mnisyif_resume_en.pdf differ diff --git a/resumes/mnisyif_resume_en.tex b/resumes/mnisyif_resume_en.tex index 1e2976f..c91347e 100644 --- a/resumes/mnisyif_resume_en.tex +++ b/resumes/mnisyif_resume_en.tex @@ -173,46 +173,59 @@ %----------Experience---------- \section{\color{blue}WORK EXPERIENCE} \resumeSubHeadingListStart + \resumeSubheading {ICT Teacher}{Mar 2026 -- Jul 2026} {International Community School}{Baghdad, Iraq} \resumeItemListStart -\resumeItem{Delivered the Cambridge ICT curriculum to students in Grades 1-8, teaching computer fundamentals, Microsoft Office applications, internet safety, digital citizenship, introductory programming, robotics, and computer hardware concepts} -\resumeItem{Designed lesson plans and classroom assignments tailored to students' grade levels, ensuring instruction aligned with curriculum objectives and learning outcomes} -\resumeItem{Maintained the computer laboratory by troubleshooting hardware and software issues, installing instructional software, and preparing classroom technology to support effective teaching} -\resumeItem{Resumed ICT instruction following a three-month teacher vacancy and developed a teaching plan to support continuity into the following academic year} -\resumeItem{Communicated with parents regarding student progress and participated in school-wide events, including graduation ceremonies and other academic activities} +\resumeItem{Delivered the Cambridge ICT curriculum to Grades 1-8, teaching computer fundamentals, Microsoft Office applications, internet safety, digital citizenship, introductory programming, robotics, and computer hardware concepts} +\resumeItem{Designed and implemented grade-specific lesson plans, assignments, and practical activities aligned with curriculum objectives and student learning outcomes} +\resumeItem{Managed and maintained the computer laboratory by troubleshooting hardware/software issues, installing educational applications, and preparing classroom infrastructure} +\resumeItem{Restored ICT instruction following a three-month teaching vacancy by developing structured learning plans to ensure academic continuity} +\resumeItemListEnd + +\resumeSubheading +{Researcher - Machine Learning \& Semantic Communications}{Jan 2024 -- Dec 2025} +{University of Guelph}{Guelph, Ontario} +\resumeItemListStart +\resumeItem{Investigated end-to-end latency bottlenecks across edge-cloud communication pipelines, identifying transitions between network transmission constraints and model execution bottlenecks} +\resumeItem{Developed semantic communication frameworks using Swin Transformer architectures in PyTorch, achieving 30$\times$ bandwidth reduction and 29\% lower latency while maintaining at least 96\% task accuracy under variable network conditions} +\resumeItem{Optimized inference pipelines through INT8 model quantization and edge-cloud hardware emulation, enabling realistic benchmarking under smartphone-class computational constraints} +\resumeItem{Designed adaptive channel-selection algorithms using real-time bandwidth and latency telemetry to dynamically optimize transmitted semantic features under changing network conditions} +\resumeItem{Established benchmarking frameworks comparing transformer-based transmission, quantized models, and conventional data transmission approaches} +\resumeItem{Published first-author peer-reviewed IEEE conference papers focusing on semantic communication, task-driven feature extraction, and edge-cloud optimization} \resumeItemListEnd \resumeSubheading {Teaching Assistant}{Sep 2024 -- Dec 2025} {University of Guelph}{Guelph, Ontario} \resumeItemListStart -\resumeItem{Led laboratory sessions and tutorials for over 100 undergraduate students in robotics and microcomputer interfacing, providing hands-on instruction and technical guidance} -\resumeItem{Bridged theoretical concepts with practical implementation through demonstrations, guided exercises, and one-on-one student support} -\resumeItem{Prepared and graded laboratory reports, project deliverables, and practical demonstrations while providing constructive feedback to enhance students' technical understanding} -\resumeItem{Held office hours to mentor students, answer technical questions, and support their academic success throughout the semester} +\resumeItem{Led laboratory sessions and tutorials for over 100 undergraduate students in robotics and microcomputer interfacing, providing technical instruction and hands-on guidance} +\resumeItem{Connected theoretical concepts with practical implementation through demonstrations, guided programming exercises, and hardware-based experiments} +\resumeItem{Prepared and graded laboratory reports, programming assignments, and project demonstrations while providing technical feedback} +\resumeItem{Mentored students during office hours, assisting with debugging, embedded systems development, and engineering design challenges} \resumeItemListEnd \resumeSubheading -{Researcher - Machine Learning}{Jan 2024 – Dec 2025} -{University of Guelph}{ Guelph, Ontario} +{Software Developer}{Oct 2022 -- Oct 2023} +{University of Guelph - Robotics Institute}{Guelph, Ontario} \resumeItemListStart -\resumeItem {Developed semantic communication pipelines using Swin Transformer models, achieving a 30× reduction in bandwidth usage and 29\% lower latency while preserving atleast 96\% task accuracy under variable network conditions} -\resumeItem {Extended models with adaptive deterministic mechanisms to handle bandwidth fluctuations and anomalies, ensuring stable real-time performance} -\resumeItem {Quantized encoder models to INT8 during edge–cloud simulations to emulate smartphone hardware constraints, enabling realistic performance benchmarking} -\resumeItem {Published a first-author paper in IEEE conference proceedings, detailing the novel integration of semantic communication with edge computing for real-time, near real-time and task-offloading applications} +\resumeItem{Developed distributed robotic software architectures using ROS2, C++, and Python, implementing nodes, topics, and real-time sensor processing pipelines for autonomous robotic systems} +\resumeItem{Architected and containerized a multi-technology software stack integrating ROS2, Node.js, Vue, and Docker to enable distributed real-time robotic control} +\resumeItem{Designed and programmed ESP32-based smart mechatronic systems using Arduino firmware, implementing BLE authentication, Wi-Fi synchronization, and low-power operational states} +\resumeItem{Automated cloud infrastructure deployment using Terraform, provisioning AWS EC2 instances, S3 storage, and application environments while reducing manual deployment overhead} +\resumeItem{Implemented CI/CD workflows using GitLab and Jenkins, integrating automated testing and deployment processes for distributed applications} \resumeItemListEnd \resumeSubheading -{Software Developer}{Oct 2022 – Oct 2023} -{University of Guelph - Robotics Institute}{ Guelph, Ontario} +{Information Technology Analyst}{Jul 2020 -- Dec 2020} +{Kitchener Downtown Community Health Center - SRHC}{Kitchener, Ontario} \resumeItemListStart -\resumeItem {Architected and containerized a multi-technology stack combining ROS2, Node.js, and Vue to enable seamless real-time control across distributed robotic systems} -\resumeItem {Implemented automated AWS infrastructure provisioning with Terraform and integrated CI/CD pipelines via GitLab and Jenkins, reducing manual deployment steps by 80\%} -\resumeItem {Created a secure certificate management workflow that streamlined Let's Encrypt renewals and configured a Nginx reverse proxy to enforce HTTPS and granular CORS policies} -\resumeItem {Led the design and implementation of an accessible smart door system using ESP32, PIR sensors, and React Native, achieving over 95\% reliability in extensive field tests} +\resumeItem{Configured centralized Samba-based file infrastructure, improving secure data access and distribution efficiency by 40\% across multi-department teams} +\resumeItem{Implemented FortiGate firewall policies and VPN infrastructure supporting secure remote access for 60+ users} +\resumeItem{Deployed Docker-based monitoring infrastructure using Prometheus and Grafana to track service availability, SSH activity, and system anomalies} \resumeItemListEnd + \resumeSubHeadingListEnd %-----------EDUCATION----------- @@ -228,40 +241,74 @@ {Apr 2023} \resumeEducationListEnd + %-----------SKILLS----------- \section{\color{blue}SKILLS, TECHNOLOGIES, INTERESTS} + \begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X } - \textbf{Skills: } & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops \\ - \textbf{Languages: } & Python; C++; C; Rust; JavaScript; HTML; Java; Bash; Go \\ - \textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite, PostgresSQL, MongoDB, Express JS; Node.js; Swagger; Docker; Git; Jenkins; Terraform; AWS; Kubernetes \\ + + \textbf{Skills: } & AI Systems; Machine Learning; Deep Learning; Semantic Communications; Edge Computing; Cloud Infrastructure; DevOps; Infrastructure as Code; Containerization; CI/CD; Distributed Systems; Embedded Systems; Network Monitoring; Agile/Scrum \\ + + \textbf{Languages: } & Python; C; Rust; JavaScript; Java; Go; Bash; HTML/CSS \\ + + \textbf{AI \& ML: } & PyTorch; Swin Transformers; Stable-Baselines3; Reinforcement Learning; OpenAI Gymnasium; Scikit-learn; Model Quantization; Computer Vision; Signal Processing \\ + + \textbf{Software Stack: } & FastAPI; Flask; React; React Native; Node.js; Express.js; ROS2; Vue; PyTest; Swagger \\ + + \textbf{Cloud \& DevOps: } & Docker; Kubernetes; Jenkins; GitLab CI/CD; Terraform; AWS (EC2, S3); Nginx; Cloudflare; Prometheus; Grafana; SSL/TLS; Linux Administration \\ + + \textbf{Databases: } & PostgreSQL; SQLite; MongoDB \\ + + \textbf{Embedded Systems: } & ESP32; Arduino; Microcontroller Programming; BLE; Sensor Integration; Robotics Hardware Interfaces \end{tabularx} +% \section{\color{blue}SKILLS, TECHNOLOGIES, INTERESTS} +% \begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X } +% \textbf{Skills: } & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops \\ +% \textbf{Languages: } & Python; C++; C; Rust; JavaScript; HTML; Java; Bash; Go \\ +% \textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite, PostgresSQL, MongoDB, Express JS; Node.js; Swagger; Docker; Git; Jenkins; Terraform; AWS; Kubernetes \\ +% \end{tabularx} % \vspace{-7pt} %-----------PROJECTS----------- \section{\color{blue}PROJECTS} \resumeSubHeadingListStart + \resumeProjectHeading {\textbf{\color{black}Home Lab Administration} $|$ \color{blue}\emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}} {} \resumeItemListStart -\resumeItem{Orchestrated 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} +\resumeItem{Orchestrated a self-hosted infrastructure environment managing 15+ Docker containers for media, web, and gaming services with automated SSL/TLS renewal, monitoring, and security hardening} +\resumeItem{Implemented Prometheus and Grafana observability pipelines, Fail2Ban security policies, reverse proxy routing, and automated deployment workflows achieving 99.9\% service availability} \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}} +{\textbf{\color{black}Real-Time Audio Filtering with Reinforcement Learning} $|$ \color{blue}\emph{Python, PyTorch, Gymnasium, Stable-Baselines3, 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} +\resumeItem{Constructed a custom OpenAI Gymnasium environment implementing FFT-based frequency-domain audio processing and adaptive harmonic filtering} +\resumeItem{Trained PPO reinforcement learning agents using Stable-Baselines3 over 10,000 timesteps to optimize noise reduction performance against clean reference signals} \resumeItemListEnd + +\resumeProjectHeading +{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue}\emph{Python, Flask, RESTful API, HTML, CSS, JavaScript}} +{} +\resumeItemListStart +\resumeItem{Developed a full-stack machine learning application using Flask REST API and interactive frontend components, implementing preprocessing pipelines and hyperparameter optimization achieving 95\% prediction accuracy} +\resumeItemListEnd + + +\resumeProjectHeading +{\textbf{\color{black}DevOps Server Infrastructure \& CI/CD Pipeline} $|$ \color{blue}\emph{Docker, Jenkins, Nginx, Cloudflare, PyTest, Jest}} +{} +\resumeItemListStart +\resumeItem{Built containerized CI/CD infrastructure using Jenkins to automate testing and deployment workflows across multiple services using PyTest and Jest validation pipelines} +\resumeItem{Configured secure application delivery using Nginx reverse proxy, Cloudflare integration, and automated Let's Encrypt SSL/TLS certificate management} +\resumeItemListEnd + + \resumeSubHeadingListEnd \vspace{-5pt}