Summary
Miha Pelko is an ML Infrastructure Engineer with 13 years of experience building data pipelines, distributed training systems, and MLOps workflows for autonomous driving and ADAS. He has led perception teams and product transitions at companies like Argo AI, CARIAD and BMW, driving camera-radar-lidar fusion models and the migration from TensorFlow to PyTorch to boost deployment efficiency. Comfortable across research and production, he pairs a PhD-level background in computational neuroscience with hands-on cloud and on-prem Kubernetes deployments to deliver evaluated models on target vehicle hardware. Known for turning literature insights into full workflows, he has repeatedly established self-sufficient ML infrastructure that lets engineers focus on modeling rather than ops. Based in Bavaria, he combines deep domain expertise in sensor multimodality with a track record of scaling data engineering for safety-critical systems. An organizer and early community builder (co-founder of TEDxLjubljana), he brings both technical rigor and leadership experience to complex cross-functional programs.
13 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Science, Doctor of Philosophy (PhD), Computational Science at The University of Edinburgh
Diploma (Masters equivalent), Physics, Diploma (Masters equivalent), Physics at University of Ljubljana
Gimnazija Bezigrad
Japti - ITM
English, Slovenian, German, Croatian, Serbian, French