William Lindskog
New York, New York, United States
Summary
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RockstarWilliam Lindskog-münzing is a Munich-based Solutions Engineer and PhD candidate specializing in decentralized and federated AI, with five years of industry and research experience. He translates academic federated-learning research into practical solutions—benchmarking DNN and tree-based federated models for connected-vehicle use cases like road-anomaly detection, energy prediction and predictive maintenance while co-supervising multiple MSc theses. As R&D lead at TUM.ai he ran projects across generative and medical AI and personalized federated learning, and at Flower Labs he now combines that research depth with solution delivery. An active open-source contributor, he implemented FedPer during a Summer of Reproducibility and is known for mentoring students and brokering industry–academic collaborations.
6 years of coding experience
Github Skills (29)
pytorch10
artificial-intelligence10
ios10
flower10
python10
machine-learning10
deep-learning10
tensorflow10
federated-learning10
ai10
android10
scikit-learn10
cpp10
raspberry-pi10
federated10
Programming languages (4)
Github contributions (5)
WilliamLindskog/flower
Jul 2023 - Apr 2024
Flower: A Friendly Federated Learning Framework
Contributions:132 pushes, 5 branches in 8 months
WilliamLindskog/WilliamLindskog
Feb 2023 - Dec 2024
Contributions:2 PRs, 11 pushes, 2 branches in 1 year 10 months
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