What is a now page? Read more here.
Current Focus
Less hype, more systems — I’m interested in AI that actually works in the real world.
What I’m Building & Studying
- ML Systems & MLOps: Designing end-to-end pipelines — training, evaluation, deployment, monitoring
- Language Models: Exploring multilingual and Indian-language focused LLMs with efficiency in mind
- Applied ML Projects: Small, focused projects aimed at solving concrete problems
- Kaggle: Using competitions as a sandbox to improve modeling, validation, and iteration skills
What I Care About
- Making models production-ready, not just accurate
- Understanding system trade-offs (latency, cost, reliability)
- Evaluation beyond single metrics
- Building things that can realistically be shipped
Reading & Influences
- Designing Data-Intensive Applications — Martin Kleppmann
- ML engineering blogs, postmortems, and real-world case studies
- Research on efficient models, compression, and inference optimization
Mindset
Optimizing for fundamentals over trends. I’m deliberately building depth in systems thinking while staying grounded in practical execution.
Last updated: February 2026