About me

Physicist → Engineer, building data & ML systems

MSc Astro & Particle Physics (University of Tübingen) and prior MSc Physics (IIT Delhi). I build data‑intensive products with Python/FastAPI, Neo4j, and modern DevOps. Focused on graph‑aware RAG, ML pipelines, and readable, production‑ready code.

Python FastAPI Neo4j Docker GCP/Azure
Portrait

Primary stack

Python • FastAPI • Neo4j

Strengths

RAG • Vector search • Data Pipelines

Tooling

Docker • CI/CD • GCP/Azure

Location

Tübingen, Germany

A Template for Life

Life, like a complex number, has both real and imaginary parts. The imaginary part reflects our broader human experience — how we relate to others, define purpose, and navigate society. The real part is the grounded, day‑to‑day layer — earning a living, solving practical problems, or pursuing creativity and craft.

For the imaginary part, I draw inspiration from Stephen Hawking, whose motto — “No matter how difficult life is, there is always a way” — reminds me that solutions exist, even when hidden. Similarly, Einstein said: “There are two ways of living: One is as though nothing is a miracle, the other is as though everything is.” I choose the latter — to treat life as a continuous unfolding of wonder, beauty, and growth.

For the real part of life, I’m grounded by the logic of George Pólya: “If you can't solve a problem, then there is an easier problem you can solve: find it.” This approach helps me break complex tasks into smaller, solvable steps. And to keep learning alive, I turn to Feynman’s favorite quote from a Buddhist temple: “If anyone has done that, any fool can do this.” It fuels my belief that with effort, anything can be mastered.