Headline

Founder @ xAGI labs | YC Alum

About

I build production AI systems that turn messy domain workflows into reliable software. I’m the co-founder of xAGI Labs, where I work on LLM agents, RAG pipelines, evals, tool-use workflows, and AI product systems for real business operations. My work sits between research and product: taking new model capabilities and turning them into useful, dependable applications. Previously, I worked on video compression models at Amazon and founded a YC-backed developer tools company. I’m strongest at fast prototyping, product judgment, applied ML/LLM engineering, and taking ambiguous technical ideas from zero to working product. I’m especially interested in applied AI, agents, model evaluation, human-in-the-loop workflows, and infrastructure that makes AI systems more reliable in production.

Location

San Francisco Bay Area

Work experience

Co-Founder at xAGI, Mar 2023 - Present · 3 yrs 6 mos, San Francisco Bay Area, xAGI Labs is an AI product studio and experimentation lab building practical LLM-powered products across consumer and enterprise workflows. Across our portfolio, we have launched products used by thousands of users and had one successful exit. Our work spans AI agents, RAG systems, internal copilots, workflow automation, vertical AI applications, and rapid product experimentation. We operate at the intersection of product, research, and implementation: identifying high-leverage AI use cases, prototyping quickly, shipping real products, and helping companies apply modern AI systems to domain-specific problems.

Product Manager at Sifchain, Apr 2020 - Nov 2022 · 2 yrs 8 mos, Remote

Co-Founder at Authlayer, May 2018 - Mar 2020 · 1 yr 11 mos, San Francisco Bay Area, Developer-friendly banking APIs for Indian fintech companies. YCW19

Product Manager at Chaintope Malaysia Sdn. Bhd., Jan 2017 - Apr 2018 · 1 yr 4 mos, WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, Worked on official Bitcoin ruby implementation and Bitcoin script development. Developed and co-taught the “The Blockchain: Theory and Practice” course at IIT Hyderabad.

Entrepreneur In Residence at Amazon, Feb 2015 - Mar 2018 · 3 yrs 2 mos, Seattle, Washington, United States, Developed Machine Learning based video compression algorithms at Amazon Catalyst.

Education

Y Combinator

Product Management and Machine Learning Nanodegree, Udacity