Lukas Hermann is a Machine Learning Engineer in Berlin with 8 years of applied AI research and production experience, currently building models at Vara.ai. His background spans robotics and ML research—he authored a popular open‑source benchmark and dataset for language‑conditioned robot control (214 stars, 78 citations) and developed a Transformer variant that improved imitation learning performance by 19%. He has hands‑on experience deploying ML systems on cloud and edge platforms, fine‑tuning Llama2 for medical entity extraction, and integrating heterogeneous biochemical and ethnobotanical data to prioritize compound‑target hypotheses. Lukas combines strong academic training (MSc with top grades) and HPC optimization skills—he achieved a 50% distributed training speedup via a shared‑memory dataloader—alongside practical DevOps work with Docker, AWS, Lambda Labs and Vast.ai. Known for turning research into reproducible code and workflows, he bridges cutting‑edge model development with production deployment in scientific and robotics domains.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, GPA 4.0, Master of Science - MS, Computer Science, GPA 4.0 at Albert-Ludwigs-Universität Freiburg im Breisgau
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Eötvös Loránd University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Sapienza Università di Roma
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