Jan 2023 – Jan 2025 · 2 yrs

Jan 2022 – Oct 2023 · 1 yr 9 mos

Jun 2020 – Dec 2021 · 1 yr 6 mos

Jan 2020 – May 2020 · 4 mos · Stony Brook, New York, United States

• CSE 545 Big Data Analytics. Prof. Andrew Schwartz

Aug 2019 – May 2020 · 9 mos · Stony Brook, New York, United States

• Worked with Prof. Andrew Schwartz in HLAB(Human Language Analysis Beings) on mental health related projects

Aug 2019 – Dec 2019 · 4 mos · Stony Brook, New York, United States

• CSE 548 Analysis of Algorithms. Prof. Jie Gao

Jun 2019 – Aug 2019 · 2 mos · New York

• Automated extraction of meeting and member related information from financial documents using Deep Learning,ML and NLP techniques to reduce the time and effort of humans significantly.
• Built a prototype of Human In The Loop(HITL) in order to boost the performance of ML and custom StanfordNLP taggers by training these models every week with the additional data.
• Created a web application to dashboard metrics using D3 and Flask. This helped in monitoring the periodic training of ML models and any drift in data distribution that may require an update to existing models.

Jan 2019 – May 2019 · 4 mos · Stony Brook, New York, United States

• CSE 216 Programming Abstractions. Prof. Ritwik Banerjee

Jan 2019 – May 2019 · 4 mos · Stony Brook, New York, United States

• CSE 101 Introduction to Python Programming - Prof. Michael Tashbook

Jun 2017 – Jun 2018 · 1 yr · Noida Area, India

• Developed a mocking tool in Java to simulate the client environment by reading 25-30GB logs, and plotted performance graphs of Reference Data Server component to identify the temporal locality of the issue.
• Enhanced the performance of the startup phase of RefData down to 35mins from 80mins in grouping instruments.
• Developed gateways in Java to aggregate data from external markets and convert it to a standard format.
• Worked on development of efficient unit and automated test-scripts using ROBOT framework