Building my own AI startup through Deep24, a YC-backed startup fellowship that combines an AI coach with founder feedback to help me move from idea to product faster.

Built AI-driven automation workflows and data enrichment pipelines at Hemut, a YC-backed logistics startup. Designed 5+ agent-based systems and API integrations to automate internal processes and support GTM operations.

Working on internal AI platform initiatives focused on AI token usage, system architecture, and AWS deployment. My work involves understanding how AI features are designed, measured, and scaled, while contributing to production-oriented engineering that helps teams use AI more efficiently, reliably, and responsibly.

Building AI-powered agtech software at Todd Agriscience, a startup rethinking sustainable farming from the ground up. Working across product engineering, farm-management workflows, and internal tools using Next.js, TypeScript, Supabase, Drizzle and PostgreSQL.

Built AI features, ML pipelines, and RAG systems at Deepiri, a research collective of 35+ developers from top universities developing autonomous AI systems and productivity platforms, supporting 100+ internal users and improving research efficiency by 40%.

Developing golden solutions and adversarial test cases to evaluate LLM performance on complex software engineering tasks. Focused on identifying problems that current models struggle to solve, designing reliable judging criteria, and helping benchmark AI coding systems against real engineering difficulty.