new: update resume to include all experiences

resumes/mnisyif_resume_en.tex

@@ -137,6 +137,20 @@
 \vspace{4pt}
 }
 
+\newcommand{\resumeEducationListStart}{
+\begin{itemize}[
+    leftmargin=0.0in,
+    label={},
+    itemsep=0pt,
+    topsep=0pt,
+    parsep=0pt
+]}
+
+\newcommand{\resumeEducationListEnd}{
+\end{itemize}
+\vspace{-4pt}
+}
+
 \pdfstringdefDisableCommands{\def\color#1{}} 
 
 %-------------------------------------------
@@ -159,89 +173,142 @@
 %----------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}
-\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}
-\resumeItemListEnd
-
-\resumeSubheading
-{Software Developer}{Oct 2022 – Oct 2023}
+{Software Developer}{Oct 2022 -- Oct 2023}
 {University of Guelph - Robotics Institute}{Guelph, 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{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
+{Information Technology Analyst}{Jul 2020 -- Dec 2020}
+{Kitchener Downtown Community Health Center - SRHC}{Kitchener, Ontario}
+\resumeItemListStart
+\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-----------
 \section{\color{blue}EDUCATION}
-\resumeSubHeadingListStart
-\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{Masters of Applied Science - Semantic Communication}}{Dec 2025}
-\resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{Bachelors of Engineering - Computer Engineering}}{Apr 2023}
-\resumeSubHeadingListEnd
+\resumeEducationListStart
+
+\resumeSchoolItem
+{University of Guelph $|$ \color{blue}\emph{Master of Applied Science - Semantic Communication}}
+{Dec 2025}
+
+\resumeSchoolItem
+{University of Guelph $|$ \color{blue}\emph{Bachelor of Engineering - Computer Engineering}}
+{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}