I am a Data Scientist and Mechanical Engineer (B.Sc., M.Sc.) specializing in the intersection of computational systems, mathematical modeling, and Machine Learning. Transitioning from physical systems engineering to data science, I approach modern computing with a deep appreciation for low-level mechanics, numerical optimization, and algorithmic efficiency.
Currently practicing in the banking sector, I spend my time outside of industry exploring the core infrastructure that powers intelligent systems. My independent research focuses on developing software components from first principles, ranging from relational database engines and high-performance algorithms to custom neural network implementations.
AI Tinkering is my personal research space, created to cultivate academic rigor, share implementation post-mortems, and bridge the gap between low-level systems engineering and advanced machine intelligence.