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Thoughts on AI research, engineering at scale, and what I'm learning at the intersection of ML and finance.
The Equation That Explains Everything (And The Things It Doesn't)
One formula. 400 years of science. 12 particles, 3 forces, and one cosmic molasses field. This is the Standard Model — the most successful theory in human history — and it still terrifies physicists.
Building Agentic Workflows for Financial Metric Analysis: Google ADK, Snowflake, and AWS AgentCore
How I designed a multi-agent system to automate raw financial data review and metric analysis — using Google ADK for orchestration, Snowflake as the data backbone, and AWS AgentCore for production deployment.
Why I'm Betting on LangChain for Production AI
After building a financial AI agent at Goldman Sachs, here's what I've learned about LangChain in production — the good, the bad, and the unexpected.
ControlNet and the Geometry of Human Motion
What I learned building Magic Dance — a ControlNet pose transfer system — and why diffusion models think about the human body very differently than you'd expect.