# My Introduction : Kelina Vipu Valan

**URL:** <https://awg.osdr.space/t/my-introduction-kelina-vipu-valan/4644>\
**Category:** AWG Discussions\
**Created:** [September 17, 2026, 10:44pm UTC](https://awg.osdr.space/t/my-introduction-kelina-vipu-valan/4644 "2026-09-17T22:44:16Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![stardust](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/stardust/32/4914_2.png) [@stardust](https://awg.osdr.space/u/stardust)\
**Post date:** [September 17, 2026, 10:44pm UTC](https://awg.osdr.space/t/my-introduction-kelina-vipu-valan/4644/1 "2026-09-17T22:44:16Z")

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Hi everyone!! How are y’all doing?!!

I’m Kelina Vipu Valan, a final-year undergraduate specializing in Artificial Intelligence and Data Science from Mumbai, India. My interests include Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, LLMs, data analytics, and visualization.

Space has been a part of my curiosity since childhood, and with immense pleasure, I’m glad to be a part of the OSDR community today!!

While I haven’t previously worked with space-related datasets, the opportunity to work with them feels like a beautiful bridge between a childhood curiosity and the field I’ve chosen to pursue.

I’ve worked on projects involving RAG systems, NLP-based applications, prediction and modelling, and data-driven solutions, and I’m excited to bring these skills into a new domain while learning along the way!!

Looking forward to learning, collaborating, and contributing to the community!!!

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**Author:** ![rtscott2001](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/rtscott2001/32/5_2.png) [@rtscott2001](https://awg.osdr.space/u/rtscott2001)\
**Post date:** [September 18, 2026, 12:20am UTC](https://awg.osdr.space/t/my-introduction-kelina-vipu-valan/4644/2 "2026-09-18T00:20:46Z")

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Welcome @stardust 👋

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](https://scholar.google.com/citations?hl=en&user=8T1QuYEAAAAJ&view_op=list_works&sortby=pubdate)  
Data dashboard (at a glance): [NASA OSDR Biological Data and Visualization Portal](https://visualization.genelab.nasa.gov/data/)  
Search portal: [NASA OSDR: Open Science for Life in Space](https://osdr.nasa.gov/bio/repo/)  
BioData API: [https://visualization.osdr.nasa.gov/biodata/api/](https://visualization.osdr.nasa.gov/biodata/api/)  
Our code on GitHub: [OpenScienceDataRepo · GitHub](https://github.com/OpenScienceDataRepo)  
Training courses (GL4U and AI/ML for space biology): [https://www.nasa.gov/reference/gl4u-training-resources/](https://www.nasa.gov/reference/gl4u-training-resources/)  
These and all quick links to data/tools/APIs, etc are here: [About - Open Science Data Repository Analysis Working Groups](https://awg.osdr.space/about)

RAG and NLP are a good fit here and mostly untouched. OSDR has hundreds of studies with rich structured metadata, +200 publications built on that data, and nobody has fully worked out how to get an LLM to reason across both. The BioData API gives you the metadata programmatically, so a good first exercise is to pull it, see how it is structured, and decide what you would build on it.

The members who get the most out of the AWGs show up with something concrete: a dataset they have already looked at, a question, or a small prototype. Spend a couple of weeks in the data, then bring what you find to the AI/ML monthly meeting on the [calendar](https://awg.osdr.space/upcoming-events) (log in first). If it grows into a project idea, propose it in the [master table thread](https://awg.osdr.space/t/how-to-be-involved-master-table-of-open-sub-group-projects/1233/40) so others can join you.

Cheers,  
-Ryan