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
Graduate Certificate in Data Science
University of Maryland, College Park
2022 Aug - 2023 May
Bachelors in Computer Science
RVR & JC College of Engineering
2018 Aug - 2022 May
TBD
TBD
2025 Aug - TBD
University of Maryland, College Park
2022 Aug - 2024 May
Masters in Machine Learning
Experience
NLP Research Lead (Multilingual LLMs)
Traversaal.ai
Sep 2024 - Present
Building LLMs for south-asian languages with just synthetic data using localized training data and cultural knowledge
Research Lead (NLP)
1-800-Shared-Tasks
Aug 2024 - Present
Working on a few papers for ACL 2025 in AI biases , text authorship attribution, LLM post-training and NLP applications. Current Works
Research Project Lead
Jul 2024 - Aug 2024
Cohere4AI
Built models for detection of watermarks and text portions from Cohere’s LLMs over 23 Languages including human-AI co-authored texts
Research Assistant
RVR & JC
Jan 2024 - May 2024
Built compute-efficient models for extracting data from self-reported health texts from various social platforms for further analysis
Research Assistant
VVIT
Aug 2023 - Jan 2024
Built image segmentation models for identifying optical disk and cup regions from retina scans for providing accurate diagnosis of Glaucoma
Research Assistant
RVR & JC
Aug 2022 - Jan 2023
Built models for bias detection in Telugu newspapers and articles for the task of identifying reliability each of the news source
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
Built Image time-series models to predict and analyze algorithms in battle-royale games adjusting for periodic changes.
Interested in collaborating / have any question regarding one of the previous papers ? fill the form below