Alex Carlier
Développeur IA & Cloud GCP at Eiffage
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolAlex Carlier is an AI and cloud engineer with 10 years of experience building production-grade generative AI platforms and high-performance ML systems, currently developing AI & GCP solutions at Eiffage from Paris. He has founded multiple startups (Reshot.AI, Litso) and led teams to deliver scalable services—most recently shipping a generative AI platform for 2,500+ employees integrating Gemini, Claude and Mistral. His research roots include a NeurIPS‑published DeepSVG model from ETH Zürich and internships at Meta AI and Amazon, demonstrating a strong bridge between cutting‑edge research and pragmatic engineering. He’s hands‑on across PyTorch, Terraform/GCP, C++→WASM pipelines and large-scale synthetic data generation, and has delivered browser NeRF renderers and encrypted tiny models for real‑time apps. A detail that sets him apart: he trained a dense face keypoint network from purely synthetic data that outperformed MediaPipe, showing expertise in simulation-driven ML.
10 years of coding experience
4 years of employment as a software developer
École Centrale Paris, MS, Applied Mathematics, Top 2% out of 529 students, École Centrale Paris, MS, Applied Mathematics, Top 2% out of 529 students at CentraleSupélecMS, Computer Science, 2nd best GPA out of 1072 Master students, MS, Computer Science, 2nd best GPA out of 1072 Master students at Ecole polytechnique fédérale de LausanneBS, Mathematics and Computer Science, MPSI - MP*, BS, Mathematics and Computer Science, MPSI - MP* at Lycée HocheMaster thesis, Machine Learning, 6/6. Thesis published at NeurIPS 2020, Master thesis, Machine Learning, 6/6. Thesis published at NeurIPS 2020 at ETH Zürich
French, English, Italian, German
Github Skills (11)
pytorch10
jupyter-notebook10
machine-learning10
c-library10
common-library10
svg10
deep-learning10
python10
standard-library10
autoencoder9
transformer8
Programming languages (4)
Github contributions (5)
alexandre01/deepsvg
Jul 2020 - Dec 2020
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
Role in this project:
ML Engineer
ML EngineerContributions:20 commits, 1 PR, 28 pushes in 5 months
Contributions summary:Alex primarily contributed to the development of Jupyter notebooks, adding descriptive markdown content to explain model usage, and implementing data loading and interpolation functionalities. Their commits focused on enhancing the usability of the notebooks, which are likely used to demonstrate and experiment with the deepSVG model for vector graphics animation and font generation. They also modified and enhanced the Python library for deep learning with SVG data, suggesting a strong involvement in the model's practical application and demonstration of its capabilities.
pythonhierarchicalvectorsketchesautoencoder
alexandre01/UltimateLabeling
May 2019 - Jun 2020
A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker
Contributions:50 commits, 1 PR, 50 pushes in 1 year
pytorchpythonintegratedtrackercomputer-vision
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