Victor Schmidt
Entrepreneur at Entalpic
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolVictor Schmidt is an entrepreneur and technical co-founder with 11 years of experience building machine learning and back-end systems from Paris. As CTO and co-founder at Entalpic and a former PhD candidate at Mila-affiliated programs, he blends research-grade ML expertise with product-focused engineering. He has hands-on experience implementing deep learning models in Keras and Lasagne for vision and time-series tasks, and has contributed to notable open-source sustainability tooling like CodeCarbon by improving GPU power tracking. Victor operates at the intersection of research and startup execution, shipping reproducible models while also shaping documentation and infrastructure. Known for turning experimental prototypes into production-ready components, he brings a pragmatic, impact-driven approach to AI development.
11 years of coding experience
Université de Montréal
English, Spanish, arabe classique
Stackoverflow
14,116reputation
2.9mreached
192answers
83questions
pylint
top-5%
machine-learning
top-5%
tensorflow
top-1%
python
top-1%
gitlab
top-5%
django
top-5%
Github Skills (27)
python10
machine-learning10
keras10
lstm10
deep-learning10
tensorflow10
neural-network10
documentation10
list-comprehension9
visual-studio-code9
lasagne9
django9
time-series9
pylint9
data-analysis9
Programming languages (19)
Github contributions (5)
vict0rsch/deep_learning
Jan 2016 - Jun 2018
Deep Learning Resources and Tutorials using Keras and Lasagne
Role in this project:
ML Engineer
ML EngineerContributions:130 commits, 7 PRs, 117 pushes in 2 years 5 months
Contributions summary:Victor focused on implementing and experimenting with deep learning models, particularly for image recognition using the Keras framework. They developed a feedforward neural network for MNIST and explored recurrent neural networks (LSTMs) for time-series power consumption data. Their contributions included model definition, training, evaluation, and the plotting of loss metrics. The user also worked with Lasagne for a feedforward MNIST model.
pythondeep-learningmachine-learninglearning-resourceslasagne
mlco2/codecarbon
May 2020 - Feb 2022
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Role in this project:Back-end Developer
Back-end DeveloperContributions:83 reviews, 296 commits, 60 PRs in 1 year 9 months
Contributions summary:Victor contributed to the documentation and structure of the `codecarbon` project. They added links to data used within the project's documentation. Furthermore, the user made changes to the `codecarbon/external/hardware.py` file, which involved adding and modifying code related to GPU power tracking.
pythondata-scienceemissionscarbon-emissionsrecommend
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