I’m a software engineer at Snowflake. I’m interested in building systems that put the power of large-scale computing and big data in more hands, unleashing innovations that transform what’s possible. Today’s landscape is exciting – enterprises continue to deliver critical value at scale, while smaller teams are becoming increasingly powerful, driving breakthrough innovations with tools that once required massive resources. I’m excited to be a part of the wave 🌊.
In a larger context, I spend time thinking about General Systems and their dynamics. Whether dealing with cluster efficiency, company valuation, or physiology, one event often leads to unexpected and counter-intuitive results, but not in a totally random manner. With a deliberate analysis, we can often connect the dots in a of seemingly chaotic world and discover interesting leverage points.
Past 🔗
Previously, I worked on Google’s cluster management system (Borg) for six years and Quora’s ML platform for two years. In the Borg team, my last role was a TLM to transition homogeneous cluster abstractions to heterogeneous machine families while enhancing reliability and efficiency. In Quora, I streamlined the ML development lifecycle from experiments to serving to easily adopt diverse options (e.g., TF, PyTorch, Transformers) and boost productivity with more principled container engineering.
Before that, I worked in Korean companies (Kakao, Nexon), participated in competitions (TopCoder, ICPC, IOI, Putnam), interned in three different companies (Google, DRW Trading, Facebook), and studied mathematics and computer science at CMU. As I navigated the journey, I learned that a few career decisions are as vital as hard work, so I wrote a few about the topic: