About Me

My journey in technology has been a mix of curiosity, exploration, and wanting to build cool stuff. I’ve always been the curious type—the kind of kid who’d take apart gadgets just to see what’s inside. That curiosity eventually turned into a love for programming, and honestly, it’s been a fun ride ever since.

I got into data structures and algorithms, solving over 500 problems on LeetCode, and spent a couple of years building backend systems with Spring Boot and MySQL. At some point, I got hooked on low-level programming—things like operating systems and compilers—because I wanted to really understand how things work under the hood.

Machine Learning caught my eye, and I dove right in. I’ve worked on image processing projects during an ML internship, dabbled in blockchain tech at a startup, and even explored machine learning research back in college. Now, I’ve stepped away from the typical job or college path to focus entirely on applied machine learning and math.

Over the years, I’ve worked with so many technologies that I’ve gotten pretty comfortable picking up anything that compiles. These days, I’m blending low-level programming with machine learning, building open-source tools, and diving deep into areas like Edge ML, Multimodal ML, and Graph ML. It’s all about learning, experimenting, and creating stuff that’s actually useful—and I’m loving every bit of it.