Building tech for justice systems | Conversational AI



Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Greater Bengaluru Area

Bengaluru, Karnataka, India

London Area, United Kingdom

Master's degree, Mathematics
University of Cambridge

Bachelor of Science (BS), Mathematics and Statistics
Indian Institute of Technology, Kanpur
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Currently, I am building the ML/Product stack to empower judiciaries in the Global South. Before this, I led the Product-ML team at Skit.ai - launching and scaling its first LLM-voicebot for the US Debt-Collections market. On the technical side, I have worked on parts and the whole of Speech Dialog Systems. Specifically, I am interested in the non-lexical parts of human speech and techniques that model and interpret these turn-taking dynamics. In a previous role, I used ML algorithms to model extreme events in financial markets. Natively, I am a pure mathematician with interests in Number Theory and Cryptography. My training in mathematics has left me with a quick grasp of abstract concepts, and the ability to communicate them well.
Bengaluru
Head of Machine Learning at Adalat AI, Aug 2025 - Present · 1 yr 1 mo
Founding ML Engineer at Adalat AI, Oct 2024 - Present · 1 yr 11 mos
Personal goal pursuit at Career Break, Jul 2024 - Oct 2024 · 4 mos, Bengaluru, Karnataka, India, tending to life - photosynthesis and backprop
ML Lead at Skit.ai, Oct 2022 - Jun 2024 · 1 yr 9 mos, Bengaluru, Karnataka, India
Lead ML Research Engineer at Skit.ai, Aug 2021 - Sep 2022 · 1 yr 2 mos, Bengaluru, Karnataka, India
Machine Learning Researcher at Skit.ai, Dec 2019 - Jul 2021 · 1 yr 8 mos, Greater Bengaluru Area
Gap year at Career Break, Jan 2019 - Oct 2019 · 10 mos, Bengaluru, Karnataka, India, Travelled, met old friends and explored a new city
Data Scientist at LBBW Landesbank Baden-Württemberg, Jul 2018 - Oct 2018 · 4 mos, London Area, United Kingdom, My primary responsibility was to develop machine learning models to predict the effect of market crises on different classes of collateral. Further, I used statistical methods in Python to build a distribution function. This allowed the Risk Manager to value the credit risk of collateralised loan deals. In my other projects, I implemented ML algorithms to predict client behaviour in the Credit Linked Note (CLN) market, and also designed a mutual fund investment strategy for European indices with Modern Portfolio Theory as the backbone.
Master's degree, Mathematics, University of Cambridge
Bachelor of Science (BS), Mathematics and Statistics, Indian Institute of Technology, Kanpur