Computer Science @ York University · Full-Stack & AI/ML Engineer · Toronto, ON

I build scalable systems — from AI automation platforms to real-time data pipelines. Passionate about turning complex problems into clean, impactful software.

Full-stack AI orchestration platform coordinating intelligent agents for scalable task automation.

• Architected platform using Next.js + FastAPI, enabling orchestration across Planner, Memory, and Summarizer agents
• Improved task execution efficiency by 35% via RESTful agent coordination APIs
• Deployed on AWS ECS with Docker + CI/CD pipelines — reduced deployment time by 50%
• Implemented RAG with vector database for enhanced contextual memory and response accuracy

Next.js FastAPI LangGraph Docker AWS ECS RAG Python

End-to-end ML pipeline for real-time stock analysis with an interactive Streamlit dashboard.

• Engineered data pipeline improving processing efficiency by 40%
• Reduced manual data collection effort by 90% via Yahoo Finance API automation
• Built interactive real-time visualization dashboard for faster, data-driven trading decisions

Python Machine Learning Streamlit Yahoo Finance API

Full-stack desktop app for movie discovery with personalized watchlists and real-time TMDB content sync.

• Designed and optimized MySQL relational schema, cutting data retrieval latency by 30%
• Built full authentication system with personalized watchlists and review management
• Integrated TMDB REST API for dynamic, real-time content updates and enhanced UX

Java Swing MySQL TMDB API

• Civic Tech Toronto — Contributing to open-source civic applications; improving code quality via pull requests and Agile workflows
• AI Club @ York University — Exploring ML concepts: neural networks, model evaluation, real-world AI system design
• CS Hub @ York — Full-stack dev & cloud workshops, hackathons, peer collaboration

"Build things that matter. Measure the impact. Iterate."