Building data. Learning NLP & Machine learning. Staying curious.
Learning to build AI that understands languages people often overlook.
I don't believe great AI starts with bigger models.
I believe it starts with better data, thoughtful experimentation, and continuous learning.
I am deeply fascinated by Natural Language Processing (NLP) and Data-centric AI. Rather than viewing myself as an expert, I see myself as a perpetual student exploring the intersection of language and artificial intelligence.
My focus is deeply practical: building robust data foundations for low-resource languages. I believe in the power of open-source. By spending my time curating datasets and experimenting with specialized linguistic tools, I hope to play a small part in democratizing AI innovation step by step.
Currently, I am channeling this curiosity as the Founder & Lead AI Scientist at DatarrX Foundation, where every day is a new opportunity to learn, build, and grow.
- 🔭 Building: Open-source datasets and data foundations.
- 🌱 Learning: Advanced NLP architectures, PyTorch, and better ways to handle low-resource languages.
- 💬 Let's Talk: I'm always open to discussing NLP, Data-centric AI, or anything related to building in the open.
Here are the tools I use to bring ideas to life and continue my learning journey:
"Still learning. Still building. One dataset at a time."