🎓 Computer Science at Queen’s University, specializing in Software Design
🧠 Machine Learning Developer @ QMIND, building a retrieval-augmented system that delivers reliable post-operative care guidance. Working with custom scrapers, a Pinecone vector store, and a growing set of medical sources
💼 Partnerships Officer @ QHacks, helping run a 500+ student hackathon by managing sponsor outreach and collaborating with company partners
🎨 Events Executive @ Queen's UX, organizing workshops and events, handling planning and presentations, and coordinating external speakers to build a creative, community-driven UX space
💻 Currently learning full-stack development through The Odin Project
📊 Enjoy working on ML workflows, backend systems, and data-heavy projects
📚 Interests: Applied Machine Learning, Data Pipelines, Web Development, and Predictive Analytics
• Languages: Python, JavaScript, Java, C, HTML/CSS, Bash, SQL
• Frameworks & Tools: Next.js, PostgreSQL, Pinecone, Pandas, NumPy, Beautiful Soup, Streamlit, Git/GitHub, Figma
• Focus Areas: Machine Learning, RAG systems, Data Engineering, Full-Stack Development
• Improving retrieval performance and embedding strategies
• Leveling up front-end skills with Next.js
• Expanding full-stack knowledge through The Odin Project
• Practicing algorithms and system design fundamentals
• 🥇 Best Overall – National Bank of Canada Challenge (QHacks 2025) → Devpost
• 🥉 3rd Place – Queen’s UX Designathon 2025 → Devpost
• 📜 Dean’s Honour List at Queen’s
When I’m not coding, you’ll probably find me:
• 🏋️ Lifting
• 🎹 Playing piano (Level 10 RCM)
• 🎣 Fishing
• 💈 Cutting hair for fun
• 🎤 Singing way too confidently at karaoke
PGA Tour Sports Betting Model – Data pipeline using 17,000+ rows of stats, odds movement, weather, and player data to generate predictions
Housing Data Scraper – Python tool that gathers and organizes 180+ housing data points across several real estate platforms
The Evolution of Trade – A Ren’Py game built in 36 hours that won Best Overall at QHacks 2025