Experience

Palantir Technologies

• United States
• Software Development
• 700 & Above Employee

• Forward Deployed Software Engineer

  • Mar 2020 - Present

  Leading a team of 8 engineers that embed with clients across many industries to design/build/operationalize sofware to support business-critical operations. Many iterations of end-to-end product ownership in rapidly changing environments that involve both building software and client (business/IT) stakeholder management. Examples: - designed, built and deployed an ML-based recommendation engine to support 1000s of customers/day - built a monitoring & decision-making platform for PG&E to facilitate power outages in order to prevent wildfires in California - deployed a real-time, large-scale medical claims analytics engine and front-end application that is used to find potential pharmaceutical litigation cases Show less



Carnegie Mellon University

• United States
• Higher Education
• 700 & Above Employee

• Teaching Assistant

  • Aug 2019 - Dec 2019

  15-440/640: Distributed Systems 15-440/640: Distributed Systems



Sayari | Commercial Risk Intelligence

• United States
• Software Development
• 100 - 200 Employee

• Machine Learning Intern

  • May 2019 - Aug 2019

  • Building state-of-the-art machine translation models to facilitate cross-country nancial intelligence; outperforms BLEU scores obtained from Google Translate for Chinese-English translations • Implemented a distributed training framework in Tensorflow and Kubernetes to allow models to utilize multiple GPUs at training time; put these models into production as a backend service • Writing modules for Apache Spark and Apache Tika to parse and structure data at scale from millions of publicly-available nancial records across dozens of countries Show less



Precog Research Group

• Undergraduate Researcher

  • Nov 2014 - May 2018

  - Built a large-scale web system for the real-time forensic analysis and visualization of social media data; deployed and in active use in over 80 organizations - Analyzed over 5 million Facebook posts to design machine learning models for the automated detection of malicious Facebook Pages, and characterized the spread of malicious content through these pages. Work led to two publications; available in the publications section below. - Built a large-scale web system for the real-time forensic analysis and visualization of social media data; deployed and in active use in over 80 organizations - Analyzed over 5 million Facebook posts to design machine learning models for the automated detection of malicious Facebook Pages, and characterized the spread of malicious content through these pages. Work led to two publications; available in the publications section below.



NPTEL

• India
• E-Learning Providers
• 100 - 200 Employee

• Teaching Assistant

  • Jan 2018 - Apr 2018

  Teaching Assistant for the Introduction to Human-Computer Interaction course on NPTEL: https://onlinecourses.nptel.ac.in/noc18_cs23/preview Teaching Assistant for the Introduction to Human-Computer Interaction course on NPTEL: https://onlinecourses.nptel.ac.in/noc18_cs23/preview



Indraprastha Institute of Information Technology, Delhi

• India
• Higher Education
• 500 - 600 Employee

• Teaching Assistant

  • Aug 2017 - Dec 2017

  Undergraduate Teaching Assistant for the Machine Learning Course at IIIT-Delhi. Undergraduate Teaching Assistant for the Machine Learning Course at IIIT-Delhi.



Max Planck Institute for Software Systems

• Computer Networking Products
• 1 - 100 Employee

• Research Intern

  • May 2017 - Aug 2017

  - Developed a tool in collaboration with another researcher to expose privacy breaches associated with targeted advertising on social media; provides a detailed personalized analysis of the (personal) information used by advertisers to target users. (https://chrome.google.com/webstore/detail/adanalyst/dichdbdjmcpgniopphedodbhkcdkoglm) - Exploited the Facebook Advertiser API to study the uniqueness of Personally Identifiable Information (PII) on a large scale; built a system to estimate uniqueness for a given set of PII. Show less



Georgia Institute of Technology

• United States
• Higher Education
• 700 & Above Employee

• Research Intern

  • Apr 2016 - Jul 2016

  Analyzed ~500k Reddit posts from over 150 US universities and applied transfer learning methods for the automated detection of mental health disclosure among college populations on social media. Work led to a (first authored) publication at a top-tier venue (CHI, link in publications section). Analyzed ~500k Reddit posts from over 150 US universities and applied transfer learning methods for the automated detection of mental health disclosure among college populations on social media. Work led to a (first authored) publication at a top-tier venue (CHI, link in publications section).



BYLD

• Design
• 1 - 100 Employee

• Administrator

  • Jul 2015 - Oct 2015

  Administrator of Byld - the software development club of IIITD. Administrator of Byld - the software development club of IIITD.



Google

• United States
• Software Development
• 700 & Above Employee

• Student Developer

  • May 2015 - Aug 2015

  Worked on creating a moderation queue for over a million OpenStreetMap (OSM) users. Worked on creating a moderation queue for over a million OpenStreetMap (OSM) users.



RacketLogger

• Intern

  • Jan 2015 - Mar 2015

  Involved with working on the RacketLogger website (www.racketlogger.com) Involved with working on the RacketLogger website (www.racketlogger.com)