About — in the speaker's own words
I am a machine learning practitioner and former founder working across predictive modeling, computer vision, MLOps, and autonomous systems. After studying mechanical engineering, I worked in the electric vehicle development sector at Hyundai Motor Group, contributing to large-scale, safety-critical automotive systems.
I later founded and scaled an agtech startup from zero to a six-figure ARR business. This experience shaped my focus on building technology that delivers measurable, real-world value rather than chasing technical hype. After exiting, I transitioned into the e-commerce domain, applying machine learning to large-scale experimentation and operational optimization.
My background includes graduate research in robotics, published work in applied machine learning, and hands-on experience deploying end-to-end ML systems. I am particularly interested in explainability-driven optimization, agent-based workflows, and cross-disciplinary system design. I believe polymath practitioners—those who can bridge domains—will be especially valuable in the era of AI.