Oct 2025 - June 2026            Principal Scientist at Finternet (transitioning out)

• I headed the engineering to build the first version of UNITS (Unified Information Tokenisation System) — the core infrastructure layer enabling unified tokenisation of information. Beyond architecting and shipping the foundational platform with a distributed engineering team, I served as the primary technical contact for enterprise integrations, running technical workshops with Broadridge and HSBC and a long-term engagement with Homeville on securitisation. The role draws on my background across distributed systems, zero-knowledge cryptography, and applied AI research.

 July 2022 - Sep 2025      Chief Scientist at Arithmic Labs     

• Led technical work across two fronts: applied AI and zero-knowledge cryptography. On the AI side, I designed and shipped agentic RAG pipelines for a PMS, owning the customer engagement from technical discovery through production deployment. On the cryptography side, I architected an end-to-end ZK proving stack — circuits, constraint systems, PIOPs, and polynomial commitment schemes — leading a team of five engineers and co-authoring publications at ACM CCS 2024 and ASIACRYPT 2025. I also closed and led delivery of a servicing agreement with Andreessen Horowitz (a16z) to build a component of the Jolt zkVM.

July 2021 - June 2022   PostDoc at Google Research India

• At Google Research India, I worked on reinforcement learning, strategic classification, and algorithmic fairness — themes that translate directly to responsible LLM deployment and evaluation today. I also first-authored the ADVISER project, an AI-driven vaccination intervention optimiser deployed with HelpMUM in Nigeria for over 200,000 beneficiaries, which received the best paper award at IJCAI, AI For Good Track 2022.

2020 - June 2021              PostDoc at Technion Israel Institute of Technology

• As a postdoc at the Technion, I worked at the intersection of strategic machine learning and computational game theory, formalising how agents behave under learned classifiers. The work resulted in two first-authored ICML papers (2021 and 2022), with the 2021 paper as joint first author. I also collaborated across the CS and EE faculty on online learning, fairness in MDPs, and causal bandits.

[2015 - 2019]                       PhD Student, Indian Institute of Science, Bangalore (Advisor: Prof. Chandan Saha)

• My PhD at IISc focused on algebraic complexity theory, where I proved new circuit lower bounds (published in TOCT 2020). Alongside the core thesis work, I was part of the foundational work on fairness in multi-armed bandits; that paper went on to become one of the most cited in the area (JMLR 2021, 180+ citations).

[2013 - 2015]                       MSc(Engg), Indian Institute of Science, Bangalore (Advisor: Prof Chandan Saha)(Thesis)

[2009 - 2013]                       B.E. Information Technology, Thadomal Shahani Engineering College, Mumbai