Building from
first principles.

“ Learning, Building and Understanding Systems ”

I am a student drawn to the kind of problems that sit at the edge of multiple disciplines — where mathematics meets computation, where physical intuition meets system architecture. My learning is curiosity-driven rather than credential-driven. I read widely, build deliberately, and keep notes on everything that surprises me. This portfolio is that process made visible: a living record of projects, writing, and ideas in motion.

Neural architectures, the mathematics of learning, and what it means for machines to generalise.

Visualising, Analysing & Understanding physical world.

Implementing my thoughts and ideas to solve problems across domains.

Curiosity that does not fit neatly anywhere. Questions, experiments, and notes at the frontier.

Learning

Studying how large-scale systems are architected — reliability, scalability, and the tradeoffs underneath.

Building

Working at the hardware layer: circuits, signals, and the physical substrate of computation.

Exploring

Exploring model internals, training dynamics, and the mathematics of machine learning.

i have no idea

Whether it is a project, a question, or an interesting problem — feel free to reach out.