About
I'm a Software Engineering student at McMaster University driven by a passion for creating impactful, innovative solutions. With over $50,000 in hackathon awards and a patent pending, I thrive on turning ideas into reality through technology.
I specialize in full-stack development, machine learning, and appplied AI technologies, always looking for ways to push the boundaries of what's possible.
Current Focus
- • AI & Machine Learning Applications
- • Data Science
- • Full-Stack Enterprise Solutions
- • Computer Vision & Applied AI
Experience
Amplify Software Developer
Royal Bank of Canada • Toronto, ON
Building RAG based Agentic AI for Capital Markets, engineering data ETL pipelines with Airflow, and constructing end-to-end Full Stack Applications with React.
Software Engineer Intern
Royal Bank of Canada • Toronto, ON
Developed full-stack applications using C#, ASP.NET MVC framework, resulting in 70% increase in server maintenance efficiency and 2700x performance improvement in page render times.
Software Developer Intern
LocoMobi World Inc. • Mississauga, ON
Developed monitoring programs for IoT devices using Python and Linux, streamlining operations at 100+ client sites and increasing troubleshooting efficiency by 45%.
Selected Projects
Chained Simple
Won 2 awards and $50,000 in prizes at DeltaHacks XI by building a decentralized Web3 portal that mints financial documents as NFTs for KYC/AML compliance.
Pocket Trader
Machine learning trading algorithm using PyTorch with sentiment analysis, achieving 15% increase in trade accuracy and 20% annual return.
Sign Simplified
Top 10 project at DeltaHacks X. Developed a computer vision project for real-time ASL character recognition with 95% accuracy using TensorFlow and OpenCV.
Scotia Safe
Financial security application designed to help users manage and protect their banking information with advanced security features.
Grade Tracker
Academic performance tracking application that helps students monitor their grades and calculate GPAs across multiple courses.
Emotion Recognition Program
Real-time emotion detection system using computer vision and machine learning to analyze facial expressions.