Jacob Langr

CTO at AlphaSchedule

London, England, United States
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Summary

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Rockstar
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Top School
Jacob Langr is a seasoned AI-first technology leader and CTO with 11+ years building ML-driven products and scaling engineering teams across startups and enterprise. He founded Hypermile (YC-backed, acquired by K1), served as CTO at Tenderd, and now leads product and platform strategy at Rig, combining hands-on ML engineering with commercial execution that has raised ~$32M and secured major pilots. Author of the best-selling book "GANs in Action," Jacob has a rare mix of deep technical credibility—patented AI climate tech, mission-critical ML for FTSE100 clients, and high-throughput LLM pipelines—and proven product instincts. He grows teams from the ground up (e.g., scaling Mudano’s data science org from 1 to 15) and routinely translates research into production-grade systems and commercial value. Based in London with an Oxford background, he also coaches, lectures, and contributes widely to the ML community, from conference keynotes to practical open-source updates to his GANs companion repo.
code11 years of coding experience
job8 years of employment as a software developer
bookBA MA (Hons) PPE, BA MA (Hons) PPE at University of Oxford
bookHypermile (Acquired), Hypermile (Acquired) at Y Combinator
languagesEnglish, Czech, French, Slovak, Chinese
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Stackoverflow

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627reputation
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5answers
12questions
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Github Skills (15)

keras10
jupyter-notebook10
deep-learning10
tensorflow10
python10
autoencoder10
prediction6
ports6
api6
docker6
linux6
roc6
r6
flask6
angularjs6

Programming languages (13)

C#C++TeXGoHTMLJupyter NotebookTypeScriptShell

Github contributions (5)

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Role in this project:
userML Engineer
Contributions:58 commits, 2 PRs, 21 pushes in 10 months
Contributions summary:Jacob migrated and updated a Jupyter Notebook related to autoencoders from an older repository version. This involved installing specific versions of Keras and TensorFlow. Further commits show the user's work updating and merging code, likely to reflect changes to the autoencoder model and training process, specifically mentioning modifications suggested by the forum. This suggests the user is updating and refactoring the project to reflect new specifications.
pytorchdeep-learningadversarialsemi-supervised-learninggenerative-adversarial-network
Contributions:53 pushes, 1 branch in 8 years 8 months
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Jacob Langr - CTO at AlphaSchedule