Quentin Gasparotto
Technical Leader Data Scientist
Bordeaux, Nouvelle-Aquitaine, France
Summary
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Senior🎓
Top SchoolQuentin Gasparotto is a Technical Leader and Data Scientist with 11 years' experience applying machine learning and embedded AI to space and industrial systems from Bordeaux, France. At Thales he leads R&T and self-funded projects—ranging from on-board satellite object detection and image-compression neural networks in FPGA to real-time speech-to-text and reinforcement learning for orbital manoeuvre optimisation—while mentoring newcomers and shaping internal tools. He combines deep technical hands-on skills (neural network miniaturization, embedded inference, RL industrialisation) with product-minded delivery under financial and time constraints. A background in graphical programming and building an AI-first programming language early in his career gives him a rare UX-aware perspective on making AI accessible. Outside work he draws creative energy from fiction, drawing and hiking, which he credits for fostering the creativity behind his applied research.
11 years of coding experience
6 years of employment as a software developer
Certificat sur mesure en Technologies de l'Information, Génie Logiciel, Certificat sur mesure en Technologies de l'Information, Génie Logiciel at Université LavalEpitechEpita Teaching and Coaching, Pédagogie, Epita Teaching and Coaching, Pédagogie at EPITA: Ingénierie Informatique
French, English, Spanish
Stackoverflow
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0reached
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Github Skills (42)
visual-editor10
bam9
scripting9
visualizations9
elastic8
elasticsearch8
kibana8
llama8
bioinformatics8
javascript7
observability7
htslib7
sequencing7
fasta7
genomics6
Programming languages (4)
Github contributions (5)
GasparQ/GasparQ.github.io
Jan 2017 - Jul 2018
Contributions:6 pushes, 1 branch in 1 year 6 months
FernandVEYRIER/DNAI.Core
Jun 2017 - Dec 2018
Contributions:152 commits in 1 year 5 months
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