Ivan Anich is a founder and applied AI practitioner with eight years of experience building agentic workflows and data-driven products from research to production. Based in Knoxville, he combines a PhD in economics and deep econometric expertise with hands-on engineering—shipping an htmx + FastAPI chat app that uses Redis, Lua rate-limiting, and LangGraph to deliver AI agents to small businesses. His background in causal inference and large-scale time-series processing (3.5+ TB across 1,000+ grid nodes) informs principled agent design and provenance-aware research agents for niche domains like vintage retail. Past roles include data science work on blockchain reward ETLs and causal studies, plus an Amazon internship where he improved A/B test precision using causal ML. He has a track record of turning academic insight into practical products and often validates product-market fit by cold-approaching customers himself.
8 years of coding experience
4 years of employment as a software developer
Bachelor's, Physics, Bachelor's, Physics at University of Colorado at Boulder
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at University of Tennessee, Knoxville
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