I am a Software Developer who understands technology from the motherboard to the cloud. Currently pursuing my Master's in Computer Science, my experience spans diagnosing hardware to training deep learning models and developing backend APIs with Python and Flask. Whether I am deploying machine learning solutions to Google Cloud or automating administrative tasks, I am passionate about bridging the gap between raw data and functional, intelligent software to solve real-world problems.
An autonomous, domain-agnostic information-gathering pipeline that uses LLMs and advanced search strategies to dynamically scrape, map, and structurally verify community health services across Ontario — addressing coverage gaps in manual directories like Ontario 211.
Built on four sequential nodes: a Query Expansion Matrix that prevents LLM generative convergence, a Crawl4AI web scraper converting raw HTML into structured Markdown, an LLM extraction engine with strict alignment prompting, and a custom 5-layer deduplication system that routes ambiguous entity pairs to an LLM context judge for final resolution.
A seeing assistant for visually impaired users. Uses real-time object detection and tracking with YOLOv8 + ByteTrack, delivering audio-based environmental descriptions via text-to-speech to help users navigate their surroundings safely.
Real-time ASL subtitle generation combining Whisper speech recognition with MediaPipe Holistic landmark sequences (543 landmarks × 3 coordinates per frame) to animate an avatar rendering ASL gestures. Presented at a research conference on accessibility-focused AI.
A personalized news feed that scores each article for media bias (TextBlob NLP) and authenticity via a custom TensorFlow model trained to 84% accuracy. A REST API hosts the model on Google Cloud Run for live inference.
A full-stack event center platform with an online reservation system, automated email confirmations on booking changes, and PayStack payment integration for online deposits. Client data stored in Firebase, deployed on Google Cloud App Engine.
Open to full-stack and ML engineering roles,
research collaborations,
and interesting problems worth solving.