Oct 2024 – Jul 2025 · 9 mos · Mountain View, California, United States

• Planning, Reasoning and Agents, using LLMs @ Google Gemini

Aug 2022 – Oct 2024 · 2 yrs 2 mos · Mountain View, California, United States

• Apr 23 - Oct 24: LLMs @ Google Gemini
• Aug 22 - Apr 23: NLP @ Google Assistant

Oct 2019 – Aug 2022 · 2 yrs 10 mos · San Francisco, California, United States

• Recommendations @ Twitter
• Building and deploying Machine Learning models and data pipelines at scale to recommend personalized content - tweets, topics and events on Twitter to increase overall user retention and engagement on the platform.

Aug 2017 – Oct 2019 · 2 yrs 2 mos · Greater Pittsburgh Region

• Developed techniques for resource ranking in distributed web search engine indexes using Deep Learning methods.
• Judicious resource selection methods to significantly reduce the search cost in search engines.
• Topic Detection and Topic Tracking using Transfer Learning and Active Learning approaches in "Low-Resource Domains" using Machine Learning methods.

May 2016 – Jul 2016 · 2 mos · Greater Boston

• Developed a software tool to track the data provenance of every entity in an R script, directly at runtime.
• Developed a visualization extension, which enables debugging R scripts and compare R script execution flows.

May 2015 – Jul 2015 · 2 mos · Kaiserslautern, Germany

• Worked on developing data anonymization mechanisms for deploying a practical anonymizing analytics system.
• The technology underpinning the system includes trusted computing, query sand-boxing, and anonymization mechanisms, all built on scalable Map-Reduce framework coupled with PostgreSQL.

Aug 2014 – Dec 2014 · 4 mos · Greater Montreal Metropolitan Area

• Data Mining and Machine Learning approaches for Cyber Security.
• Involved identifying patterns in infected systems processes(on Windows platform) to come up with prominent signatures of computer viruses or trojans.

May 2014 – Jul 2014 · 2 mos · Los Angeles Metropolitan Area

• Designed algorithms for data mining and machine learning for traffic prediction using bandit strategy approach.
• Developed a mechanism for prediction in real time, short and long-term traffic due to impact in a road segment.