May 2023 – Nov 2024 · 1 yr 6 mos · New York, United States · On-site

• ‣ Creating a cloud platform to provide Flink as a managed service for teams across Bloomberg.

Jun 2022 – Sep 2022 · 3 mos · San Jose, California, United States

• ‣ Designed and implemented a scalable, reusable feature store to reduce the time involved in ransomware detection.

Sep 2021 – Mar 2023 · 1 yr 6 mos · San Diego, California, United States

• ‣ CSE 8A: Introduction to Programming I (Fall 2021)
• ‣ CSE 8B: Introduction to Programming II (Winter 2022)
• ‣ CSE 11: Accelerated Introduction to Programming (Spring 2022)
• ‣ MGTA 452: Collecting and Analyzing Large Data (Fall 2022)
• ‣ CSE 11: Accelerated Introduction to Programming (Winter 2023)

Jul 2019 – Aug 2021 · 2 yrs 1 mo · Mumbai Area, India

• ‣ Built a dataset agnostic solution to mine frequently occurring patterns.
• ‣ Leveraged Big data technologies like Spark and HDFS to handle 100+ GB datasets. This helped reduce the processing time tenfold.
• ‣ Developed a novel scoring algorithm to find the most insightful patterns among the exhaustive set generated.
• ‣ Created an end-to-end Jenkins pipeline and deployed it to AWS EMR and various on-prem clusters in the firm.
• ‣ Led various client implementations of this product in the trade settlement, reconciliation and regulatory space.
• ‣ Scaled this product to gather insights from 10+ projects and packaged it to be installable across several teams.

Jan 2019 – Apr 2019 · 3 mos

• ‣ Worked on building and improving deep learning models to automate extraction of data from handwritten insurance documents.

May 2018 – Jul 2018 · 2 mos

• ‣ Developed and deployed a large scale facial recognition system that would replace the need for ID cards for thousands of employees.

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India

• ‣ Designed a Convolutional Neural Network to help predict Alzheimer’s from the MRI scan of the individual.