Who I am and what I'm about

I'm a developer and researcher working at the intersection of quantum physics, distributed systems, machine learning, and quantitative finance. I build computational frameworks, train ML models, and develop algorithmic trading systems—all while maintaining a focus on rigorous research and practical applications.

My work spans quantum transport simulations using self-consistent DFT + NEGF methods, distributed systems engineering for high-performance applications, deep learning models for time series forecasting, and quantitative trading strategies. I'm driven by the challenge of solving complex problems across domains, whether that's simulating electron behavior at the atomic level or building production-ready ML pipelines.

I've published research in computational physics, contributed to open-source quantum transport packages, and built systems that handle real-world scale. When I'm not coding or researching, I'm usually reading papers, experimenting with new models, or backtesting trading strategies. I believe in building things that are both scientifically rigorous and practically useful.