Apr 2019 – Jan 2020 · 9 mos · Greater New York City Area

• Developed a new personalization framework to generate “in-feed” account recommendations for users’ interests.
• Owned and developed systems for user targeting and interacting with Ads bidding engine for 1B+ users.
• Led efforts to increase recommendation delivery by +120%, by using user interaction signals and caching strategies.

Feb 2017 – Mar 2019 · 2 yrs 1 mo · San Francisco Bay Area

• Developed ML solutions to generate ground truth by identifying trusted crowdsourcers globally.
• Built an experimentation and evaluation framework for hot-swapping new models in production environment.
• Led the strategy and development of Facebook’s crowdsourcing platform, serving 500Mn+ users.
• Led the development of commercial intent modelling for business on Facebook apps.

Sep 2016 – Dec 2016 · 3 mos · Greater New York City Area

• Working as Teaching Assistant in Advanced Databases and Analysis of Algorithms.

May 2016 – Aug 2016 · 3 mos · Greater New York City Area

• Experimented with different machine learning algorithms to predict security behavior using market indicators.
• Built a multiclass classifier using neural nets to group Russell 3000 index companies using market data.

Jun 2014 – Aug 2015 · 1 yr 2 mos · Mumbai Area, India

• Built a team and developed an app for Samsung GearVR to generate virtual homes for prospective buyers.
• Improved the map-based tile server to semantically recognize localities, and reduce memory footprint & latency.

May 2013 – Jul 2013 · 2 mos · Bangalore

• I worked as an Summer Intern in Advertising and Data Publishing Team at Yahoo! Software Development India, Bangalore as the part of my industrial training.
• I worked on an in-house tool used to manage reported advertisements on Yahoo! properties.

May 2012 – Jul 2012 · 2 mos · Singapore

• Optimized a core library of Difference Bound Matrices (DBM) for a model-checking framework.