Aarshay Jain is a data-driven technology leader and founder with 10 years of experience building and shipping ML-first products across consumer finance, media, and legal tech. As Co-Founder & CTO of InHouse he’s architecting an AI-native legal services platform that pairs a contract-drafting chatbot with a lawyer marketplace to lower costs and generate high-quality leads. Previously he led personalization and MLOps at Jupiter and delivered advanced LTV and causal inference models at Spotify, launching production pipelines on Scio, TFX/Kubeflow and real-time serving stacks. He combines hands-on engineering—authoring Scikit-learn improvements and production ML tooling—with venture-facing analytics from his Data Science training at Columbia. Comfortable moving between product, ops and research, he’s turned zero-to-one ML engagements into repeatable processes for startups and VCs alike. Based in Gurugram, he brings a rare blend of enterprise-scale modeling expertise and founder-level product instinct.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.) Data Science, Master of Science (M.S.) Data Science at Columbia University
Bachelor of Engineering (B.E.) Manufacturing Processes and Automation Engineering, Bachelor of Engineering (B.E.) Manufacturing Processes and Automation Engineering at Netaji Subhas Institute of Technology, University of Delhi
Contributions:21 PRs, 29 pushes, 16 branches in 28 days
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