Florent Forest
AI Software Engineer at Ecorobotix
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolFlorent Forest is a Specialist in Data Science and AI Engineering with nine years of experience bridging academic research and industrial deployment, now based at Nestlé Research in Lausanne. He holds a PhD in Computer Science and a strong aerospace background (ISAE-SUPAERO, TU Berlin), which informs his focus on robust, interpretable and data-efficient deep learning for industrial use cases like predictive maintenance, visual inspection and signal processing. His research at EPFL concentrated on explainable AI and domain adaptation while his industry roles have emphasized MLOps, embedded vision optimization and scaling ML for fleet health monitoring. He combines hands-on skills across cloud-native pipelines, embedded deployment and full-stack tooling with academic rigor in publishing and teaching. Notably, he has repeatedly moved research prototypes into production—from microscope image analysis in a biotech startup to embedded vision on constrained devices—demonstrating both scientific depth and practical delivery.
9 years of coding experience
7 years of employment as a software developer
Preparatory school in theoretical Mathematics, Physics and Computer Science, Preparatory school in theoretical Mathematics, Physics and Computer Science at Lycée Janson-de-SaillyBaccalauréat S, mathematics, with distinction, Baccalauréat S, mathematics, with distinction at Lycée Marie LaurencinPh. D., Computer Science, Ph. D., Computer Science at Université Sorbonne Paris NordAeronautical and Astronautical Engineering, Aeronautical and Astronautical Engineering at Technische Universität BerlinMaster of Engineering, Space Engineering, Data Science, Master of Engineering, Space Engineering, Data Science at ISAE-SUPAERO
French, German, English, Spanish, Chinese
Stackoverflow
601reputation
152kreached
8answers
1question
pyspark
top-5%
Github Skills (138)
python10
deep-learning10
clustering10
representation-learning10
ml10
autoencoder10
neural-network10
data-science10
trend10
unsupervised-learning10
tensorflow10
self-organizing-map10
temporal10
machine-learning10
som10
Programming languages (7)
Github contributions (5)
FlorentF9/sparkml-som
Feb 2019 - Feb 2022
Contributions:16 commits, 8 pushes, 1 comment in 3 years
FlorentF9/SOMperf
Oct 2019 - Jun 2020
:globe_with_meridians: SOMperf: Self-organizing maps performance metrics and quality indices
Contributions:19 commits, 1 PR, 7 pushes in 8 months
benchmarkingclusteringclustering-metricsperformance-metricsself-organizing-map
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