Hayoung Kim
Senior AI Engineer Motion Prediction & Gen-AI at 42dot
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolHayoung Kim is a Senior AI Engineer specializing in motion prediction, end-to-end driving models, and vision-language foundation models for autonomous mobility, with 11 years of experience and a PhD in Automotive Engineering. At 42dot she led teams that shipped HD map–free motion-prediction models to live robo-taxi services and built an LM-style policy network that generates high-level driving actions from camera and navigation inputs. Her work spans research and production—authoring 10+ peer-reviewed papers (~500 citations) and implementing real-time C++ modules integrated into autonomous stacks. She also directed a 10-member data-ops initiative to establish dataset quality standards for the company’s first end-to-end driving model. Comfortable across Python, C++, PyTorch, ROS2 and deployment tooling, she brings both rigorous academic depth and hands-on delivery to safety-critical urban driving problems. An underappreciated strength is her track record of translating transformer-style architectures into constrained, safety-aware motion outputs used in live services.
10 years of coding experience
Doctor of Philosophy (Ph.D.) Automotive Engineering, Doctor of Philosophy (Ph.D.) Automotive Engineering at Hanyang University
Github Skills (31)
depth-camera10
vehicle-detection10
classification-algorithm9
actor-critic8
deep-q-network8
classification8
traffic8
simulation8
simulator8
planning7
deep-reinforcement-learning6
dqn6
deep-learning6
q-learning5
perception5
Programming languages (5)
Github contributions (5)
hayoung-kim/Perception-for-Self-driving
Dec 2016 - Jun 2017
Contributions:53 commits, 1 PR, 57 pushes in 6 months
signtraffic-sign-detectionlanetrafficclassification
hayoung-kim/udacity-carnd-capstone
Dec 2017 - Jan 2018
Contributions:13 commits, 10 pushes, 1 branch in 10 days
nanodegreeudacity-self-driving-carudacitydeep-learningself-driving
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