I build products, systems, and analysis that make work feel cleaner, faster, and easier. I grew up in India, moved to the US for Penn State, and built my foundation in engineering, data, and how real teams operate under pressure. My path runs through tech, finance, and operations, which means I have spent a lot of time inside workflows that break and a lot of time fixing them.

I like problems that sit at the intersection of logic and execution. Give me a data puzzle, a broken process, or a model that needs to predict something real, and I will find the straightest path through it. SQL, Python, Tableau, and the newer wave of LLM and agentic systems are the tools I reach for, but the real skill is pattern recognition and follow through.

I have handled credit and exposure monitoring on portfolios above thirty four million, built forecasting dashboards for research teams, and developed risk and anomaly detection tools from scratch. Cycle X is the best example of how I think. It is a forecasting engine I designed to study market timing, turning raw quantitative work into something practical you can actually trade or reason with. It represents the kind of long term research I want to keep doing.

Outside of work, I keep things simple. I cook. I train. I set routines that keep my head clear. Structure makes room for creativity, and most of my ideas come from that rhythm.

At the core, I like making things that work. Systems that feel obvious. Tools that save time. Models that reduce uncertainty. My north star is practical impact. Build it cleaner. Make it faster. Let people feel the difference. Then do it again.