About
Honors BCS student concentrating in Big Data at Wilfrid Laurier University. Since 2022 I have balanced research, internships, and teaching while building ML and full stack projects. Recent work includes automating workflows with Power Platform and Azure, building data pipelines in Python, and shipping responsive e-commerce experiences. I also conduct research in adversarial ML and robotics using Jetson Nano and Yahboom platforms.
Work Experience
Skills
Programming Languages
Frameworks & Libraries
Data & ML Stack
Tools & Platforms
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Stock Market Trading Bot
Built a CNN for stock prediction using ResNet, InceptionV3, and DenseNet121. Improved accuracy by 70 percent and sped up training by 20 percent with min max normalization and better handling of missing data. Added a Gradio UI for real time predictions and visualizations which increased engagement by 30 percent.
Object Recognition Model
Implemented YOLOv4 based detection with 95 percent accuracy. Reduced training time by 20 percent through data augmentation and efficient GPU use. Integrated TensorRT for real time inference with a 30 percent speedup.
Book Recommendation Model
Created a hybrid recommender combining collaborative and content based filtering. Increased recommendation diversity by 30 percent through genre analysis and cut training time by 25 percent with efficient feature extraction and normalization.
Raspberry Pi Camera Enclosure
Designed and 3D‑printed a custom enclosure for a Raspberry Pi Zero and camera module. Integrated the camera and configured MJPEG streaming to create a compact security/monitoring camera, validating fitment, cable routing, and stable live video output.
Interactive Map
Built a real‑time interactive map that lets users drop markers, attach details and amenities, search locations, and measure distance between points. Implemented live updates with Socket.IO and served the app via an Express backend with Leaflet + OpenStreetMap tiles.
WLUMSA
Helped build the WLUMSA website for Laurier University’s Muslim Students’ Association, refining layout, navigation, and content to make key information easy to find. Organized event listings, resources, and calls‑to‑action so members could quickly discover programs, prayer times, and ways to get involved.
LCS
Contributed to the Laurier Computing Society website, improving page structure and content to better showcase events, initiatives, and community updates.
Discord Tooltip
Developed a Discord‑style tooltip component with hover/focus triggers, smooth motion, and precise positioning to match the native UI feel. Built reusable styles and variants for icons and actions to keep the interaction consistent across the interface.
I like building things
During my time in university, I attended 5+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.
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LUCAS
Montreal, ON
L.U.C.A.S (Live User Care Assistant & Scheduler) is a responsive web app that helps users describe symptoms and pain, then determines whether an in clinic appointment should be recommended - J
JUNR
Waterloo, ON
Networking tool that shares social links via QR codes and Jackal wallet addresses. Pivoted from React Native to a web app due to integration constraints and shipped a working proof of concept. - I
In a Flash!
London, ON
Flashcard builder and quiz tool using Cohere text generation. Implemented UI and assisted with Node.js backend and first time API integration. - N
Nzyme
Toronto, ON
Summarizes textbook chapters with NLP and supports active recall. React frontend connected to a Flask Python backend using Cohere for text generation and entity extraction. - C
Car Less
Waterloo, ON
Pokemon GO inspired transit gamification app to encourage public transport use. Built with Flutter and Google Maps Platform APIs.
Research Contributions
Some of my published research in AI, ML, and Robotics — presented at international conferences and journals.
Real-Time Plant Disease Detection Using YOLOv8 on a Low-Resource Device
Usama Mohiuddin, Emad A. Mohammed 38th Canadian Conference on Artificial Intelligence (2025) Developed an AI-powered robotic system for real-time plant disease detection using YOLOv8, achieving 90% accuracy on edge hardware (Jetson Orin NX). Integrated robotic spraying and cloud monitoring for greenhouse sustainability.
Securing 3D Deep Learning Models: Simple and Effective Defense Against Adversarial Attacks
Rosina F. Kharal, Saif Al-Din Ali, Usama Mohiuddin, Samir El Sayed 2024 IEEE International Conference on Machine Learning and Applications (ICMLA) Examined vulnerabilities of 3D deep learning models under adversarial attacks. Proposed a simplified defense that reduced retraining by ~90% while restoring or exceeding baseline accuracy.
Semantic Aware Path Planning for Vision Language Navigation
Usama Mohiuddin Generated a model for path planning using SLAM, and using semantic knowledge to plan a path for moving mobile robots in real time
Get in Touch
Want to chat? Just shoot me a dm with a direct question on LinkedIn and I'll respond whenever I can. I will ignore all soliciting.