Théophile Blard

PhD Student In Neural Video Coding at Orange

Rennes, Brittany, France
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Summary

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Senior
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Top School
Théophile Blard is a Deep Learning Engineer and PhD student in Neural Video Coding based in Rennes with eight years of experience building AI-driven imaging and real-time systems. He has applied machine learning at scale across industry settings—from embedded, low-latency vision systems for manufacturing to AI-guided decision support for air traffic control—combining research rigor at Orange with production delivery at Thales and ADDI-DATA. Skilled in real-time image processing, model optimization for embedded deployment, and multi-source data fusion, he bridges algorithm development and pragmatic engineering. Currently pursuing doctoral research, he brings both academic depth and hands-on experience deploying ML in safety-critical and resource-constrained environments. An unusual strength is his track record of leading technical projects end-to-end, from data and model training to real-time system integration.
code8 years of coding experience
job4 years of employment as a software developer
bookPreparatory Classes for the Grandes Ecoles, Physics, Preparatory Classes for the Grandes Ecoles, Physics at Lycée Lapérouse-Kérichen
bookDiplôme d'ingénieur, Computer Science, Diplôme d'ingénieur, Computer Science at Télécom Physique Strasbourg
languagesEnglish, German, French
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Github Skills (98)

transformers10
python10
datasets10
huggingface10
deep-learning10
speech10
camembert10
sentiment-analysis10
audio10
computer-vision10
nlp10
french10
tensorflow10
natural-language-processing10
pytorch10

Programming languages (9)

TypeScriptC#C++CHTMLBitBakeJupyter NotebookRuby

Github contributions (5)

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How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset
Contributions:61 commits, 8 PRs, 61 pushes in 2 years 7 months
bertsentiment-analysisdeep-learningdatasetcamembert
Contributions:5 pushes, 1 branch in 3 years 3 months
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