Florian Mies
Applied AI Engineer at Workist
Valencia, Valencian Community, Spain
Summary
👤
Senior🎓
Top SchoolFlorian Mies is an Applied AI Engineer based in Valencia with nine years of hands-on experience across data science, full-stack web development, robotics, and IoT systems. He moves fluidly from backend APIs and cloud/on‑prem solutions to frontend delivery and production ML, currently applying that breadth at Workist after progressing from full-stack responsibilities into applied AI. His background includes C++ motion-planning work with ROS, building IoT device management platforms, and automating large-scale IoT data analysis and anomaly detection pipelines. Florian pairs a strong mathematical foundation (BSc Mathematics, exchange study in Hong Kong) with a master's in computer science, enabling him to translate research-level ideas into reliable production systems. Notably, he has practical experience designing compliant healthcare-grade architectures and containerized portability proofs-of-concept.
9 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Freie Universität BerlinThe University of Hong Kong (HKU)Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at The University of Bonn
Chinese, German, English, Spanish
Github Skills (20)
evaluation10
hydra9
pytorch9
avalanche9
evaluator9
python8
deep-learning8
gpu8
machine-learning8
incremental-learning8
neural-network6
tensorflow6
security6
numpy5
privacy4
Programming languages (2)
Github contributions (5)
travela/avalanche
Feb 2022 - Jun 2022
Avalanche: an End-to-End Library for Continual Learning. Among other features, it provides implementations of existing strategies (EWC, LwF, GEM, iCarl, GDumb and others).
Contributions:10 PRs, 112 pushes, 20 branches in 3 months
implementationsend-to-endewcavalanchereinforcement-learning
travela/privacy-evaluator
May 2021 - Jun 2021
The privML Privacy Evaluator is a tool that assesses ML model's levels of privacy by running different attacks on it.
Contributions:1 PR, 16 pushes, 19 branches in 1 month
privacysecuritymachine-learninglevelsattacks
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