Daniel Palenicek
PhD Candidate
Hesse, Germany
Summary
👤
SeniorDaniel Palenicek is a PhD researcher and research scientist intern specializing in model-free and model-based reinforcement learning for robotics, currently working at Meta and IAS, TU Darmstadt with affiliation to hessian.AI. Over eight years he has blended academic rigor with production-grade engineering—building and administering an HPC cluster serving 100+ users, 100+ GPUs and 1,200+ CPUs while publishing on safe and robust RL. He brings cloud and DevOps fluency from consulting with Google Cloud partners and launching a consumer-facing mobile app for German baseball clubs that he owns and maintains. Comfortable moving between theory and systems, he has interned at industry research labs (Huawei, Bosch) and led ML projects with Accenture, demonstrating both hands-on algorithm development and deployment experience. Based in New York, he pairs entrepreneurial initiative with deep RL expertise to translate cutting-edge research into scalable infrastructure and products.
9 years of coding experience
Github Skills (28)
robotics10
stable-baselines10
reinforcement-learning9
pytorch9
optimization9
pybullet9
hyperparameter-tuning9
deep-reinforcement-learning9
hyperparameter-optimization8
machine-learning8
openai8
batch-normalization8
ionic-storage7
tensorflow7
python5
Programming languages (3)
Github contributions (5)
danielpalen/pysc2-rl-agents
Feb 2018 - Nov 2019
Contributions:107 commits, 7 pushes, 1 comment in 1 year 9 months
danielpalen/wandb_plot
Jul 2023 - Sep 2024
Contributions:3 pushes, 3 branches in 1 year 1 month
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