Jun 2023 – Present · 2 yrs 9 mos · San Francisco, California, United States

Jan 2023 – Jan 2023 · 0 mo · Mumbai, Maharashtra, India · Remote

May 2021 – Jun 2023 · 2 yrs 1 mo · Bengaluru, Karnataka, India

• Part of the founding team of the fastest-growing insurtech startup in the US.
• 1. Led the core GTM product(https://safety.nirvanatech.com/) showcasing the underwriting data to customers through recommendations/insights to improve safety standards and thus insurance premiums.
• 2. Led the initiative to build in-house key-val DB (feature store) to keep ML and other data features.
• 3. Led the automation of multiple data pipelines involving DBT Data loading and transformations to Snowflake.
• 4. Led new insurance products POCs.

Jan 2019 – Jan 2021 · 2 yrs

• Designed and developed the trading infrastructure with a latency of less than 100ms with impact cost, stock quantity and volume optimisation in Golang
• ★ Scrapped multiple data sources and unorganised data and parsed it in machine-readable format for data modelling
• ★ Wrote quantamental strategies to predict stock price movements over a small duration
• ★ Produced a combined return of annualised 100% over a period of 9 months with various uncorrelated signals
• Researched various industries to come up with problems to solve. Formed and released various MVPs to test the hypothesis.
• Loved this time and got a good idea of the Indian startup ecosystem.
• Planning to share the leanings in from of a blog soon.
• Would be great to talk on anything and everything in gaming, fintech, ed-tech...

Jan 2017 – Jan 2019 · 2 yrs · Bengaluru Area, India

• Worked on various projects related to Distributed Systems and Distributed databases.
• Studied internals of Cassandra, an AP Distributed Database to solve various issues
• Got into the internals of CockroachDB, a CP Distributed Database based on Google Spanner, to handle time and disk-related issues.
• Part of the team that moved Rubrik's Distributed Database, that handled the TBs of metadata per cluster.
• Part of the team that made distributed clock service Kronos (http://github.com/rubrikinc/kronos) to make CRDB work in scenarios without NTP and atomic clock.

May 2016 – Jul 2016 · 2 mos · Mountain View, California, United States

• I worked in Google Ads, specifically, Ads Serving. My project aimed at improving the user experience for users that click on an ad. I worked on implementing heuristics to improve the user experience for Search Ads across different platforms or setups. by simulating relevant network experiments with browsers . I also implemented MapReduce jobs to obtain ads data from Google BigTables and perform operations on it. I monitored the MapReduces on Borg and Borgmon to improve performance and debug.

May 2015 – Jul 2015 · 2 mos · Gurgaon, India

• The first job was to model the American Express customer database as a directed graph giving influence scores to each edge denoting the relation between two of them. It was difficult to model the score in an unsupervised way using various demographic information and referrals. Then I implemented MIA(Maximum Influence Arborescence) graph algorithm to find the most influential people to send offers to.
• The main idea of this project was to model American Express cardholder network as a Social Network and use Social Network Analysis techniques for the same.
• Got Pre-Placement Offer on the basis of internship work