Building scalable AI systems, designing intelligent architectures, and turning complex data into actionable insights.
- 🎓 Just completed Master of Science in Data Science at the University of Washington, Seattle (Mar 2026).
- 💼 Architected an agentic SQL correction system for my Capstone Project with Microsoft.
- 📊 Previously engineered scalable data pipelines and business intelligence dashboards as a Data Science Intern at ASML.
- 🔭 Actively seeking full-time opportunities as a Data Scientist, AI Engineer, or Machine Learning Engineer.
- 🎲 Beyond the code: When I'm not optimizing algorithms or building data pipelines, you can find me playing Minecraft or sketching!
Languages & Databases
Libraries & Frameworks
Cloud & DevOps
- Sequel2SQL: Architected a personalized database copilot using PydanticAI and ChromaDB that improves semantic error diagnosis and query rewriting on open-source LLMs.
- E-Commerce Event Analytics: Designed a production-grade ETL pipeline on AWS Glue and PySpark processing 94M+ events with sub-second Athena queries.
- Project Kallipolis: Engineered a multi-agent LLM simulation using AutoGen and Ollama, applying NLP analytics to detect emergent algorithmic bias.
- Hey Aaron: Developed an AI voice assistant Android app leveraging Picovoice for wake-word detection and Fish Audio API for realistic TTS.
- Fire Detection: Trained a YOLOv4-tiny computer vision model on a custom 1,300-image dataset for real-time fire detection on live camera feeds.
"In God we trust, all others must bring data." - W. Edwards Deming