Théophile Blard
PhD Student In Neural Video Coding at Orange
Rennes, Brittany, France
Summary
👤
Senior🎓
Top SchoolThéophile 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.
8 years of coding experience
4 years of employment as a software developer
Preparatory Classes for the Grandes Ecoles, Physics, Preparatory Classes for the Grandes Ecoles, Physics at Lycée Lapérouse-KérichenDiplôme d'ingénieur, Computer Science, Diplôme d'ingénieur, Computer Science at Télécom Physique Strasbourg
English, German, French
Github Skills (129)
python10
distilbert10
datasets10
deep-learning10
speech10
camembert10
sentiment-analysis10
sdk10
computer-vision10
transformer10
nlp10
multiclass-classification10
french10
sentiment-classification10
sentiment10
Programming languages (8)
Github contributions (5)
TheophileBlard/french-sentiment-analysis-with-bert
Jan 2020 - Aug 2022
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
camembertdistilbertbertdataset-analysisstate-of-the-art
TheophileBlard/TheophileBlard
May 2021 - Aug 2024
Contributions:5 pushes, 1 branch in 3 years 3 months
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