Sep 2019 – Jun 2021 · 1 yr 9 mos · Pittsburgh, Pennsylvania, United States

• Developed novel method for object tracking in AV
• Developed an active learning framework to identify and address data deficiencies in perception models, improving model accuracy and robustness.

Feb 2017 – Sep 2019 · 2 yrs 7 mos · Pittsburgh, Pennsylvania, United States

• Patented novel architecture for autonomous vehicle (AV) motion planning
• Utilize Deep Learning and Computer Vision to automate label collection

May 2016 – Aug 2016 · 3 mos · Greater Pittsburgh Region

• Built a system in Python to automatically attribute a news article to a public company using Stanford’s co-reference resolution module
• Implemented a heuristic based module to extract the public companies relevant to a news article
• Wrote a Python module to interface with the Stanford POS tagger that improved the performance of an existing sentiment analysis module by a factor of ten

Sep 2015 – May 2016 · 8 mos

• As part of my research assistantship I work with the NSF Frontier project, which builds on recent advances in natural language processing, privacy preference modelling and crowdsourcing to Semi-automatically extract key privacy policy features from natural language website privacy policies, and present these features to users in an easy-to-digest format that enables them to make more informed privacy decisions as they interact with different websites.

Jun 2013 – Aug 2015 · 2 yrs 2 mos · Bangalore

• Development of Adobe Digital Editions and Reader Mobile SDK(RMSDK).
• Adobe Digital Editions is a ebook reading tool currently available on Windows and Mac platforms.
• RMSDK is a powerful rendering engine capable of rendering PDF, Epub2 and a new standard based on HTML5 - Epub3.