Varun Kacholia
About
Varun Kacholia is from San Francisco Bay Area. Varun is currently Co-Founder & CTO at Viven. Varun also works as Co-Founder & CTO at eightfold.ai, a job Varun has held since Jul 2016. In Varun's previous role as a Engineering Director, News Feed at Facebook, Varun worked in Menlo Park, CA until Aug 2016. Prior to joining Facebook, Varun was a Senior Staff Software Engineer at Google Inc. and held the position of Senior Staff Software Engineer at Mountain View, CA. Prior to that, Varun was a Research Assistant at University of Waterloo from May 2003 to Jul 2003.
Go to finalscout.com and type Varun Kacholia's name into the search box for a free email address. FinalScout is a professional database with more than 500 million business professionals and 200 million company executives.
Varun Kacholia's current jobs
Viven is building Digital Twins for the enterprise — and eventually, for everyone. We’re creating intelligent counterparts that preserve knowledge, accelerate decisions, and scale human potential. We’re hiring exceptional engineers, researchers, and builders who want to shape the next frontier of AI and agentic systems.
Co-founded and scaled Eightfold AI into a large-scale AI platform deployed globally across enterprises and public sector organizations. Led architecture, platform strategy, and engineering across: • AI-powered ranking and recommendation systems • Large-scale retrieval and search infrastructure • Agentic workflow systems and orchestration • Multimodal AI interviewing and conversational systems • Distributed ML infrastructure and model deployment • Real-time inference and decision systems • Enterprise-scale AI governance, security, and reliability • Workforce intelligence and optimization systems Built and scaled engineering organizations responsible for large distributed systems, machine learning platforms, search infrastructure, and AI products deployed across hundreds of enterprise customers globally. Helped drive the company from inception through global deployment and large-scale enterprise adoption.
Varun Kacholia's past jobs
Led teams responsible for News Feed ranking and recommendation systems across Facebook. Worked on: • Large-scale ranking and recommendation infrastructure • Personalization systems serving billions of users • Machine learning driven feed optimization • Relevance modeling and recommendation algorithms • Real-time inference systems • Distributed infrastructure for large-scale ML serving • Engagement and quality optimization systems Also contributed to broader News Feed infrastructure, ML systems, and product architecture initiatives across Facebook’s recommendation stack.
Led engineering efforts for YouTube Search and Google Video Search infrastructure and ranking systems. Focused on: • Large-scale search and retrieval infrastructure • Ranking and relevance algorithms • Distributed serving systems handling billions of queries • Search quality optimization • Video indexing and retrieval systems • Search infrastructure scalability and reliability Also contributed to product strategy and technical direction for video search systems across Google and YouTube.
* Worked with Prof M. Tamer Ozsu to develop a compact storage scheme for XML. * Implemented the entire storage and query processing system. Our prototype outperformed many available XML databases including X HiveDB 4.0. * Results were publised in IEEE International Conference on Data Engg. (ICDE) 2004.