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