Work experience
Staff ML Scientist at SandboxAQ
(2024-present)
Large Quantitative models (LQMs) based on AI & Quantum simulations for drug discovery.
Scientist at Microsoft Research Redmond
(2021-2024)
Work on Generative AI models for enterprise. Core contributor of Project Science Engine.
PhD in Machine Learning at Georgia Tech
(2016-2020)
Thesis titled "On using Inductive Biases for Designing Deep Learning Architectures".
PhD Research at Google Brain
(Summer 2020)
Interned with Google translate team on developing Randomized Neural Networks.
AI Resident at X - The Moonshot Factory
(Summer 2019)
ML for audio signals as part of Alphabet's 'secret' project now revealed as IYO
PhD Research intern Microsoft AI
(Summer 2018)
Worked on sparse low-rank compression to accelerate RNN training & inference.
PhD Research intern Xerox PARC
(Summer 2017)
Worked on anomaly detection for unstructured data for document security.
Co-founder Saraz
(Android app 2018)
Listen to short stories (English) from fiction magazines and podcasts.
Co-founder Wiztrit
(Android app 2016)
Wiztrit brings Excerpts from the best novels, which make a good 10-minute read.
Scientist at Xerox Research Center India
(2014-2016)
ML for Healthcare devices. Research on class imbalance & timeseries problems.
Co-founder Closelook
(Android app 2014)
A location based app that connects you to neighborhood activities and happenings.
UG Researcher at TU Munich Germany
(Summer 2012)
Received fellowship to work on advanced VLSI circuits and CAD designs.
CSSR research fellowship at CMU
(Summer 2011)
Intern on fault tolerant circuits and 3D network routing problem in VLSI circuits.
IAS Fellowship at IISC Bangalore
(Summer 2010)
Compact Modeling of Independent/Asymmetric Double Gate MOSFETs.
UG at Indian Institute of Technology Kharagpur
(2009-2014)
B.Tech (Hons) in Electronics & ECE with M.Tech (Dual Degree) in VLSI circuits.