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
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.
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.
I like building things
During my time in university, I attended 4+ 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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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.
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.