About Me

I'm a second-year IT student who enjoys working at the boundary between systems, structure, and experimentation. I started my journey in game development, which taught me how engines, memory, and performance behave behind the scenes. Over time, that curiosity shifted into deeper technical work — building tools, formats, and algorithms that challenge assumptions.

My main systems project, C2PM, is an experimental image format built from first principles. It explores an inverted color-index model to rethink how pixel data can be stored, queried, and manipulated, prioritizing analytical access over traditional rendering workflows.

Alongside systems work, I explore algorithm design through small research-oriented projects. ARD-KMeans++ is one such experiment, where I studied how local density information can be used to refine centroid initialization in K-Means clustering. The project focuses on understanding tradeoffs in stability, performance, and dataset structure rather than optimizing for benchmarks alone.

I enjoy projects that require reasoning beyond implementation — understanding constraints, tradeoffs, and failure cases, and revisiting problems from the ground up. My long-term goal is to grow as an engineer who can design, analyze, and build systems that make sense, whether for research, backend infrastructure, or experimental ideas.

Download Resume