Hi everyone, I’m Tharun Kumar V, a recent graduate in CSE (AIML) from Coimbatore, India. I work with LLMs, computer vision, and applied ML, building and deploying models end-to-end, from research to production.
One project I’m proud of is Damagescope, a post-disaster building damage detection system built on the BRIGHT dataset, which I published at the IEEE RMKMATE 2026 conference.
I’m really excited to be part of OSDR, as I love applying ML and AI to the field of space. My favorite area is exoplanet spectrum discovery, where I have some exposure and am currently doing further research. Looking forward to learning from the group and getting involved.
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Welcome @TharunKumar2106 
Make sure to spend time looking at all the data and tools to come up with new investigations. Looking at previous studies is quite useful too.
Previous work: NASA OSDR-GeneLab Enabled Publications, Pre-Prints, Student Theses - Google Scholar
Data dashboard (at a glance): NASA OSDR Biological Data and Visualization Portal
Search portal: NASA OSDR: Open Science for Life in Space
BioData API: https://visualization.osdr.nasa.gov/biodata/api/
Our code on GitHub: OpenScienceDataRepo · GitHub
These and all quick links to data/tools/APIs, etc are here: About - Open Science Data Repository Analysis Working Groups
Worth saying up front: OSDR holds space biology and health data, so exoplanet spectra sit outside what we host, ie outside the domain of our community, usually.
Thats said though, your skill set transfers directly 
Damagescope is segmentation and classification on remote sensing imagery, and we have real bioimaging and microscopy data waiting for people who build end-to-end. Search the dashboard or portal for the imaging assays and see what you think. On the LLM side, take a look at the BioData API and the GitHub repos, since getting models to reason over study metadata is an open problem we care about.
For the AI/ML AWG, reach out to @vaishnavi.nagesh, @james.casaletto, introduce yourself, and get to the next monthly meeting. 2nd wednesday of the month, iirc
Pick a project from the master table and find the meeting on the calendar (log in first).
Cheers,
-Ryan
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