I’m a developer and student who learns best by building. Rather than just making a project work on the surface, I focus on understanding the underlying mechanics, engineering fundamentals, and system behavior from the ground up.
Currently I am exploring Machine Learning systems for my research work in Physics Informed Machine Learning and their applications in Finance and other scientific fields like biology and mathematics. I’m particularly drawn to the intersection of technology and human performance—specifically how cognitive psychology and systems thinking can be applied to build better software and optimize workflows.
Whether working on real-world applications or diving into complex technical mechanics, my process relies on hands-on experimentation, iterative debugging, and deep technical curiosity.
