Tobias Plötz
Lead Machine Learning Scientist at Merck Group
Frankfurt Rhine-Main Metropolitan Area Germany
Summary
👤
Senior🎓
Top SchoolTobias Plötz is a Lead Machine Learning Scientist with 11 years of experience applying deep learning and generative AI to protein engineering, drug discovery, and enterprise knowledge systems. Based in the Frankfurt Rhine-Main area, he leads ML innovation at Merck, building custom LLMs, parameter-efficient fine-tuning pipelines, semantic search and a company-wide conversational AI that balances productivity with data privacy. His background includes a PhD-level research track in computer vision and generative models from TU Darmstadt, and he has translated that academic depth into production-grade ADMET predictors and advanced NLP/vision solutions. Tobias combines hands-on model development with product-focused delivery, enabling fast prototyping of LLM-based applications across commercial, regulatory and R&D functions. Notably, he has operationalized AI at scale inside a regulated enterprise, bridging cutting-edge research with practical governance and information retrieval needs.
11 years of coding experience
4 years of employment as a software developer
Technischen Universität Darmstadt
Github Skills (51)
experimental-design9
active-learning9
optimization9
neighbors9
machine-learning8
forge8
nearest-neighbors8
chemistry7
differential-privacy7
transfer-learning7
deep-learning6
aws-ecs6
cheminformatics6
pytorch6
amazon5
Programming languages (3)
Github contributions (5)
visinf/n3net
Oct 2018 - Nov 2019
Neural Nearest Neighbors Networks (NIPS*2018)
Contributions:8 commits, 7 pushes, 1 branch in 1 year
pytorchneighborsnearestdeep-learningnips-2018
tobiasploetz/aws_request_response
Jan 2021 - Dec 2022
Contributions:1 PR, 1 push in 1 year 11 months
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