Projects
Here's a quick rundown of some projects from my career journey, covering both academia and industry.
Autoencoder-Based Anomaly Detection
I developed an anomaly detection tool utilizing Autoencoders (AE) to help engineering teams automatically flag abnormal datasets within their simulation/test decks. Leveraging deep learning in this fashion allowed us to catch setup errors early.
Agentic AI System for Aero Wind Tunnel Data
Architected a production-grade Agentic AI system on Databricks, integrating RAG with a custom math engine and Python UDFs to automate complex numerical analysis and high-fidelity technical data retrieval via LLMs
Developed a Physical Model for a Fluid Dynamics Modeling Software
Developed a model that speeds up the way we simulate how different fuels burn, allowing for more efficient testing and design
Simulated and Optimized Small-scale Energy Systems Using ML and GA
Applied a MLP model to a CCHP system, enabling faster optimization and analysis.
Latest Blog Posts
We Let AI Build Our Engineering Tool. Here's Why We Still Have Jobs in Mid-2026
Who Cares if AI Violates CFD Physics? The Design is What Matters.
My Takeaway of Cursor and GitHub Copilot
