Sep 2020 – Dec 2020 · 3 mos · New York, New York, United States

• Course Assistant for the course COMS 4995 Applied Deep Learning, taught by Prof. Joshua Gordon.

Jan 2020 – May 2020 · 4 mos · Greater New York City Area

• Course Assistant for the course COMS 4995 Applied Machine Learning, taught by Prof. Andreas Mueller.

Jan 2020 – May 2020 · 4 mos · Greater New York City Area

• Course Assistant for the course COMS 4721 Machine Learning for Data Science, taught by Prof. Dongryeol Lee. Awarded the Outstanding CA award by DSI for my contribution to the course.

Sep 2019 – Jan 2020 · 4 mos · Greater New York City Area

• Assisting Prof. Michael Parrott with building an academic repository for AI prediction models where academicians can deploy their Machine Learning models and share with other users to plug and play.
• About: The AI Model Share Initiative is a start-up center at Columbia University. Our mission is to create tools that empower data scientists to deploy prediction models quickly into production-ready APIs in a cost-effective manner

May 2020 – Aug 2020 · 3 mos · New York City Metropolitan Area

• Mongo query observability: Implementing a query observability system to export mongo query metadata to the data warehouse by leveraging Kafka and Spark. Useful for developers across the firm to improve their mongo (primary db) queries.

Sep 2017 – Aug 2019 · 1 yr 11 mos · Gurgaon, India

• ◦ Network monitoring: Designed a system to monitor Tower’s network for latency, packet loss, metamux buffering and sflow alerts using TICK & ELK stack decreasing first report SLA by upto 70%. Incorporated FB’s Prophet toolkit for anomaly detection.
• ◦ Automated server provisioning: Developed a work-flow application to automate server provisioning for all new servers being requested by trading teams, saving 530+ man-hours per year.
• ◦ Leadership and recruitment: Spearheaded multiple lateral, fresh grad and intern hiring drives for the team. Served as tech lead for the last few months, mentoring 5 summer interns and several new joiners on the team.

May 2016 – Aug 2017 · 1 yr 3 mos · New Delhi Area, India

• ◦ Development: End-to-end development of the influencer marketing platform with brand and influencer portals, which provided campaign moderation and analytics dashboards.
• ◦ Influencer Search Engine: Engineered a scalable and distributed scheduling system to retrieve insights from social networks like Facebook, Twitter, Instagram, YouTube, and Google Analytics. Indexed 1M+ influencers worldwide with features like content categorization (using NLP and ML), audience analysis and more.

Jul 2015 – May 2016 · 10 mos · Bengaluru Area, India

• ◦ Faster image rendering: Implemented progressive rendering for the main image on mobile and explored other image optimization options like webP images, leading to incremental sales of $75M for Amazon.
• ◦ Buy box redesign: Redesigned buy-box for mobile detail page across categories by creating a new design to on-board all use cases for the most complex feature on the page.
• ◦ Cross-team Javascript migration: Led a cross-team, page-level migration of legacy Javascript components on the product detail page to Amazon’s internal UI build system.

Jun 2014 – Jul 2014 · 1 mo · Bengaluru Area, India

• ◦ Product detail page debugger: Created a Javascript framework on top of Amazon’s most visited webpage, capable of handling input from the seller support executives and suggest relevant debugging scenarios. This helped in reducing the customer support tickets for SDE’s by roughly 60%.