Feb 2024 – Aug 2024 · 6 mos · San Francisco Bay Area

Aug 2021 – Feb 2024 · 2 yrs 6 mos · San Francisco Bay Area

Nov 2019 – Aug 2021 · 1 yr 9 mos · San Francisco Bay Area

Feb 2019 – Nov 2019 · 9 mos · San Francisco Bay Area

Jun 2018 – Sep 2018 · 3 mos · San Francisco, California

Apr 2018 – Jun 2018 · 2 mos · Greater San Diego Area

• TA for the course CSE 150 - 'Introduction to AI: Search and Reasoning' by Professor Lawrence Saul.
• My responsibilities include holding discussion sections and office hours, grading of homework assignments and quizzes, and also answering questions and doubts posted on online discussion forums like Piazza.

Jan 2018 – Dec 2018 · 11 mos · Greater San Diego Area

• TA for the course CSE 150 - 'Introduction to AI: Search and Reasoning' by Professor Sicun Gao.
• My responsibilities include holding discussion sections, grading of homework assignments and quizzes, holding one and a half hours of office hours per week and also answering questions and doubts posted on online discussion forums like Piazza.

Sep 2017 – Dec 2017 · 3 mos · Greater San Diego Area

• TA for the course CSE 151 - 'Introduction to Artificial Intelligence: Statistical Approaches' by Professor Sanjoy Dasgupta.
• My responsibilities include grading of homework assignments and quizzes, holding two hours of office hours per week and also answering questions and doubts posted on online discussion forums like Piazza.

Jan 2017 – Jun 2017 · 5 mos · Bengaluru Area, India

• Worked as part of the Outbound Marketing Automation team within the Consumer Engagement org, which owns most of the push notifications and emails sent to customers, owns CAFE(Common Automated Framework for Email) and also owns the message scoring models used to assign priority between amazon emails/push notifications. Its primary goal is to launch new programs worldwide, to update existing programs to function efficiently and to ensure the highest return on investment on these programs.
• As an intern, I successfully launched two new push programs, having high click rates, in five marketplaces in Europe. I worked on migration of semi-automated programs from EPC templates to Managed Templates. And, built a generic deals publisher which fetches data of different amazon deals, transforms it and publishes it either, in an S3 bucket, EDX dataset or SQS queue.

May 2016 – Jul 2016 · 2 mos · Singapore

• Worked under Prof Lam Siew Kei at Nanyang Technological University, Singapore for the summer of 2016. The project aim was to work on a Clustering-Based Approach for Data-Driven Imputation of Missing Traffic Data. During the internship, I studied concepts of Deep Neural Networks and Clustering Algorithms and applied the same to develop a deep learning approach using both k-means clustering and deep stacked denoising autoencoders to estimate the missing data values in road traffic data. This approach gave more than a 10% reduction in root mean square error from the earlier, more common approach of replacing missing values with historical averages.

May 2015 – Jul 2015 · 2 mos · New Delhi Area, India

• Worked as a summer intern at Defence Research and Development Organisation, New Delhi on Comparative Study of Java-Based Rule Engines with a Case Study on JESS. During the internship, I studied concepts of Agent Technology and various rule engines namely Jess, JRuleEngine, Drools, Zilonis and OpenRules. I successfully wrote rules in Jess based on which an intelligent agent i.e a tank, makes decisions and finds a path from initial position to final position avoiding obstacles like rocks.

Jan 2015 – May 2015 · 4 mos · Hyderbad

• Undergraduate teaching assistant for the course Database Systems.

Dec 2014 – Feb 2015 · 2 mos · Gurgaon, India

• Worked under the Data Analytics Team on the ongoing ‘mygov’ project. Studied properties of various Data Management Tools which suited the project.