May 2023 – Aug 2023 · 3 mos · Redmond, Washington, United States

• Visual Document Intelligence Team
• Generative AI and LLMs for Document Understanding

Sep 2022 – May 2023 · 8 mos · Menlo Park, California, United States

• NLP and Speech Team, Facebook Reality Labs
• Retrieval Augmentation for Large Language Models (LLMs)

May 2022 – Aug 2022 · 3 mos · College Park, Maryland, United States

• Document Intelligence Lab

Jan 2022 – May 2022 · 4 mos · New Jersey, United States

• AI research on document-level NLP problems [Remote due to Covid]

Aug 2021 – Dec 2021 · 4 mos · College Park, Maryland, United States

• Collaborated with ShareChat AI team as part of Ph.D. research.
• Multimodal Deep Learning research on short-format social media videos. Analyzing popular social media trends (face filters, hook-steps, dub-smashes) created by content creators in multiple languages with different video formats like reaction videos, split screens, etc.
• CVPR paper accepted on a novel human-annotated dataset of videos, 3Massiv, from short video platform Moj and performed extensive experiments to explore various dimensions of our dataset.

May 2021 – Aug 2021 · 3 mos

• Working on document structure extraction with Adobe Research (Document Intelligence Lab) [Remote due to COVID]

Jan 2021 – May 2021 · 4 mos

• Research Assitant at UMD in collaboration with Adobe Research Document Intelligence Lab

Jun 2020 – Aug 2020 · 2 mos · New York, United States

• Natural Language Processing and Machine Learning
• Duplicate detection of news headlines as a tiered (event­-entity-­phrase level) paraphrase identification task.

Aug 2019 – Jan 2021 · 1 yr 5 mos · college park

• CMSC 351: Algorithms
• CMSC 132: OOPS in Java

Jun 2018 – Jul 2019 · 1 yr 1 mo · Gurgaon, Haryana, India

• Algorithmic Trading: Automated quantitative backtesting, trading execution and equity-sector
• optimization for multi-factor trading logic in Python and SQL using Bloomberg for market data. Effectively managed to generate a 6.7% profit for assets worth INR 20 million.
• Data Analytics: Analyzed long-term market trends using Matplotlib and Scikit-Learn for testing the trading hypothesis. Extracted statistical signals to forecast probable losses in 78% of divergent cases.
• Mutual Fund Trading App: Designed and developed backend REST API’s on AWS Lambda for mutual fund recommendation. Used k-Means clustering and time series analysis to design an optimal basket selection algorithm. Reduced the time utilization in data processing steps by 67% by parallelizing time-intensive computations.

Jan 2018 – Jul 2019 · 1 yr 6 mos · Delhi

• Worked on several projects in machine learning, supervised and unsupervised learning, natural language processing, computer vision, social media analysis, information retrieval, data mining. Published at top tier conferences such as ACM Multimedia, Interspeech, EMNLP, WACV, ICASSP, NAACL, AAAI, ECIR, ICWSM.

Jun 2017 – Jul 2017 · 1 mo · Gurgaon, India

• As a part of the Right Stay team, worked on two critical modules of the hostapp using React Native for cross platform app development.
• Host Negotiations: Developed a host negotiation feature to facilitate price negotiations in the chat conversation flow.
• Host side property listing: Developed the property listing module to allow the user to view and update each listed property.