About
I am an NLP researcher working on a wide range of topics in the field with some overlap with vision, speech and HCI. I have previously founded an esports org During 2018-2022. Apart from that, I have worked with meme pages and moderated a large region specifc subreddit gaining understanding of what goes on behind the scenes in social platforms and what issues preside over the platforms
From 2022-2024, I used to participate in shared tasks / Kaggle competitions and have finished 1st in over Half of those i took part in using limited resources competing against those who used over 100x. From 2024, I have been applying and obtaining grants on my own and started working on a few ideas.
Educational Journey
Masters in Machine Learning
University of Maryland , College Park
2022 Aug - 2024 May
Graduate Certificate in Data Science
University of Maryland , College Park
2022 Aug - 2023 May
Bachelors in Computer Science & Engineering
RVR & JC College of Engineering
2018 Aug - 2022 May
TBD
TBD
2025 Aug - TBD
Experience
Research Lead
1-800-Shared-Tasks
Aug 2024 - Present
Research Project Lead
Cohere4AI
Jul 2024 - Aug 2024
Research Assistant
RVR & JC
Jan 2024 - May 2024
LLM Post-Training, AI generated text Detection, AI Bias and Fairness. More info: Current Works
Research Assistant
VVIT
Aug 2023 - Jan 2024
Research Assistant
RVR & JC
Aug 2022 - Jan 2023
Built compute-efficient models for extracting data from self-reported health texts from various social platforms for further analysis.
ML & IoT Intern
Bolt IoT
Feb 2021 - Apr 2021
Built Time-series models for a smart humidity, lighting, and temperature management based on current and estimated usages and periodic trends
Founder
Black Ops Esports
Nov 2018 - Apr 2022
Leading a team of 30 : LLMs for Low-Resource Languages, Datasets and Benchmarks, LLM/VLM Applications.
Built models for detection of watermarks and texts/ text portions from Cohere’s LLMs over 23 Languages including human-AI co-authored texts
Built image segmentation models for identifying optical disk and cup regions from retina scans for providing accurate diagnosis of Glaucoma
Built models for bias detection in Telugu newspapers and articles for the task of identifying reliability each of the news source
Built Image time-series models to predict and analyze algorithms in battle-royale games to plan better strategies.
NLP Reserach Lead
Traversaal.ai
Nov 2024 - Present
Interested in collaborating / have any question regarding one of the previous papers ? fill the form below