Led machine learning efforts including, research, engineering, infrastructure and product working on foundational problems, including Recommendations (“Where should I live” serving billions of recommendations/week) and Price Estimation (“How much is a home worth” at over 100 million homes scale). We used multi-modal property data (documents, images, text, video, 3d scans etc.) at a national level, and our work cut across various domains in machine learning. We also built and managed end-to-end production-grade large-scale machine learning infrastructure and systems serving hundreds of millions of customers.

Machine Learning Engineering Leader of ML Engineers, scientists and managers focused on challenging problems across the financial services domain and developing foundational enterprise-grade machine learning capabilitiesKey Achievements/Projects:Natural Language Interface to Databases - Developed a unique natural language interface for democratizing access to AXP enterprise data platform for diverse set of users (analysts to executive leaders)ML/AI Commercialization - Developed machine learning framework for commercialization of AXP data assets launching a new revenue generating business at American Express.ML Algorithm Development - Developed multiple distributed proprietary and original machine learning algorithms used by over 1000 data scientists and engineersDistributed Machine Learning Transformation - First production use of Distributed Machine Learning (using MapReduce) at American Express (2011) resulting in large scale investments in on-premise Big Data Infrastructure. Developed training strategy with ML & Big Data training courses attended by over 2000 employees globallyResearch Areas: Natural Language Processing, Semi-supervised & Unsupervised Learning, Sequential Data Modeling including Time Series, Recommendation Systems, Distributed Machine Learning

Funded by Google under the Summer of Code program, I worked on developing a framework for parametrics and constraint based geometry operations in the open source Ballistic Research Laboratory-Computer Aided Design system.

Computational Geometry based simulations for Louis Vuitton Foundation for Art by Frank O. Gehry

Devlopment of an agent based model for the analysis and interpretation of how urban shapes evolve at Center for Study of Complex Systems, mentored by Dr. Rick Riolo as a part of the GSoC program

Founded one of the largest student organizations in India promoting entrepreneurshiphttps://www.ecell-iitkgp.org/

Development of an Open Architectural Space Programming framework working with Kristen Carlsen-Accardi and Barton Massey, funded through Google Summer of Code Program.