Software Engineer | Machine Learning Researcher | Embedded Systems Developer

I’m passionate about building intelligent systems that connect the physical and digital worlds —
from real-world sensor data to simulation-driven reinforcement learning.

• B.S. in Computer Science, Minor in Statistics — Indiana University Bloomington
  • Dean’s List & Academic Scholarship Recipient
• Firmware Engineer @ Indy Audio Labs
  • Boosted UI polling performance by 85% through reverse engineering
  • Designed REST APIs and optimized embedded UI workflows
• Research:
  • Achieved 98% accuracy in animal key-point detection (DeepPose Estimation)
  • Currently exploring GRPO-based Sim↔Real Reinforcement Learning
    using Apple Watch physiological data and Mujoco simulation

Languages: Python, R, C++
Frameworks & Tools: PyTorch, TensorFlow, React, Unity, AWS, MySQL
Specialties: Machine Learning, Reinforcement Learning, API Development, Simulation Systems

• Sim-to-Real / Real-to-Sim Adaptation
• Human-Centered Reinforcement Learning
• Embedded ML & Sensor Intelligence
• Applied AI Systems Design

Email: kdea989@gmail.com
LinkedIn: linkedin.com/in/daeyeop-kim-372761129/
Research Blog (coming soon): daeyeopkim.github.io

“Turning data into insight, and insight into intelligent systems.”