engineering @ uwaterloo | build. ship. deploy.
building software systems, working with data, solving problems.
i love to ship. whether it's a weekend hackathon project or a production system, i believe in getting things out the door and iterating based on real feedback.
i'm currently working on an llm project with
sephira institute.
training models for an AI-native content intelligence platform for communications and marketing agencies
building llm powered analytics chatbots targetting sentiment analysis
built software for satellite systems and orbital mechanics
contributed to a rag-powered cooking assistant from the ground up
delivered etl pipelines and production-ready solutions for clients
real-time 1v1 coding competition platform where developers race to solve algorithmic problems. built with instant matching, live opponent status, and ai-powered hints. reached 100+ users in 2 hours after launch. fully deployed and shipping.
desktop productivity tool with yolo + opencv for webcam inference and habit monitoring. built in 36 hours with a team of four.
api built with yfinance and fastapi that aggregates stock news and performs sentiment analysis.
automated data pipeline for collecting, processing, and analyzing job market trends with real-time scraping and visualization.
data cleaning pipeline for fifa 21 player dataset, handling currency conversion, contract dates, missing values, and generating comprehensive cleaning reports.
deep learning system for detecting forged signatures using convolutional neural networks.