Samuel Kim

ML engineering requires a very broad range of skills and knowleges. You need not only the knowledge on the fundamentals of AI/ML, but also experiences in software engineering, data pipelines, and MLOps tools. Sometimes you can feel you are totally lost, not knowing what to focus on for you to enter into the field or grow as a good ML engineer.

I have worked as an ML engineer in various domains such as retail, finance, manufacturing, and health care. I have successfully developed and maintained ML services including credit scoring, exchange rate prediction, robot arm anomaly detection, and seizure detection with brain EEG. With these experiences in the industry, I can help you to start your journey as an ML Engineer or come out of your comfort zone to be on the next level.

I have mentored many people to grow as an ML Engineer. I also have an experience giving a career talk in the graduate school of data science of Seoul National University in 2023. In this age of uncertainty, what you really need right now is to meet a right coach like me.