Summary
Simon Holk is a postdoctoral researcher and former software engineer whose work sits at the intersection of reinforcement learning from human feedback and foundational models applied to robotics. With a PhD from KTH and visiting research at The University of Tokyo, he has published at ICRA, IROS and HRI while combining deep learning research with practical robotics deployments. Prior to academia he built production-grade data pipelines and scalable backend services at Klarna, touching databases, streaming, APIs and ML model serving in AWS. He follows modern engineering practices like TDD, CI/CD and pair programming, bringing an operational mindset to research code. Comfortable moving between experimental models and production constraints, he looks for challenges that accelerate both technical growth and real-world impact. Based in Stockholm, he uniquely blends hands-on backend experience with cutting-edge RLHF research on LLMs for embodied systems.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at KTH Royal Institute of Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The Faculty of Engineering at Lund University
Exchange studies, Exchange studies at Keio University
Swedish, English, Japanese