Professional Overview
What fascinates me most is the transition from generative AI to agentic AI. We are moving away from models that just "chat" and toward systems that can reason and act. Coming from a background in mathematics and competitive programming, I enjoy the logic required to decompose a complex human task—like parsing financial records or conducting research—into a series of executable steps for an LLM. I’m particularly interested in RAG (Retrieval-Augmented Generation) and how we can use it to ground AI in "truth" (like IRS Form 990 data) to eliminate hallucinations. The ability to build a system that can autonomously navigate the web, collect data, and provide a structured insight is, to me, the most exciting frontier in software today.
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
