Welcome to my humble corner of the web!
Since Fall 2024, I’ve been pursuing my master’s degree in Computer Engineering in the United States. I wanted to share what I learn and code every day in this space.
I believe that writing is a surprisingly effective method of learning. Through writing, I can refine and hone the concepts I’ve learned. The act of committing to write also motivates myself to start studying new topics.
I previously worked as a ML engineer, but now I am aiming to transition my career towards embedded systems & firmware. My interests in the field range from TinyML, MLOps to FreeRTOS, IoT, robotics and low-level programming.
Timeline
SSD Architecture Engineering Intern
Worked as an intern in SSD Product Development Team. Simulated high-performance data transmission pipelines to assess system throughput in SSD, and conducted experiments including process control and unit tests. Identified potential bottlenecks in data read process by running various I/O workload tests within simulated environment.
Computer Engineering, M.S.
Started my master's program in Computer Engineering at NYU, Tandon School of Engineering.
AI Engineering Intern
Trained Siamese network to identify forensice shoeprints. Reduced noise in input images with deep learning-based super-resolution technique; applied data augmentation to improve quality and diversity of datasets.
ML Engineering Intern
Improved latency of PyTorch-based 3D reconstruction AI model; achieved 14.2% in inference latency by implementing model pruning and quantization.
Computer Science, B.S.
DGIST, by then, maintained a single major in undergraduate studies. I was lucky enough to nurture my intellectual curiosity by taking various subjects — physics, chemistry, neuroscience, philosophy, and history. Fun fact: I graduated with a computer science degree, but I have a thesis paper in molecular biology."