Johannes Heidecke
Senior Machine Learning Engineer at Netcall
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolJohannes Heidecke is a Senior Machine Learning Engineer based in London with 11 years of engineering experience and over three years focused on AI/ML across FTSE100 and startup environments. He designs and ships enterprise-grade, cloud-native AI microservices with strong emphasis on data compliance, federated learning and production-ready LLMs. His work spans domain-specific in-house LLMs, agentic architectures, RAG and multi-component pipelines, and he has delivered Vision LLMs and neuro-symbolic decision agents that matched or exceeded commercial LLM accuracy while lowering inference cost. Comfortable bridging research and product, he has led end-to-end initiatives from data standardisation and model optimisation to API deployment and monitoring. Known for translating SME knowledge into robust AI systems, he combines rigorous MSci training with hands-on experience delivering regulated, high-availability solutions.
11 years of coding experience
3 years of employment as a software developer
MSci Data Science with Honours, Distinction, MSci Data Science with Honours, Distinction at City, University of London
German, English
Github Skills (17)
generative-model8
mnist8
dcgan7
autoencoder7
generative7
cyclegan6
generative-adversarial-network6
chainer6
encoder5
tensorflow4
deep-learning3
idx1
reinforcement-learning1
pytorch1
modular1
Programming languages (3)
Github contributions (5)
JohannesHeidecke/irl-benchmark
Sep 2018 - Dec 2018
Contributions:1 release, 62 commits, 3 PRs in 2 months
JohannesHeidecke/UPC-MAI-IMAS
Sep 2016 - Feb 2017
Contributions:58 commits, 4 pushes, 1 branch in 4 months
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