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Thomas Bruniquel

@thomasbruniquel

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Machine Learning Engineer who built an extraction pipeline for 4,000+ environmental engineering reports.

France

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What I'm looking for

I'm eager to learn from and contribute to a collaborative team, exploring new AI tools and approaches while translating business needs into practical machine-learning solutions.

At Ginger Burgeap, I developed an automated information extraction pipeline for environmental engineering reports. I trained a ResNet-18 page classifier that achieved 99.5% F1 and fine-tuned Qwen3-VL with LoRA for information extraction, reaching over 97% precision.

I managed annotation and data preparation, along with GPU/HPC training, evaluation, and deployment.

As a Software Engineering Intern at bNovate Technologies SA, I developed over 100 automated GUI tests for a scientific software interface and worked on OCR-based text and image recognition solutions and results visualization.

Experience

Work history, roles, and key accomplishments

AI Engineer - Final Year Internship

Ginger Burgeap

Mar 2026 - Aug 2026 (5 months)

Developed an automated information extraction pipeline for over 4,000 environmental engineering PDF reports. Trained a ResNet-18 page classifier and fine-tuned Qwen3-VL with LoRA, achieving high precision.

Python PyTorch ResNet18 Qwen3VL LoRAs Computer Vision Information Extraction GPU HPC Annotations Deployment

Software Engineering Intern

bNovate Technologies SA

Apr 2024 - Aug 2024 (4 months)

Developed over 100 automated GUI tests for a scientific software interface. Implemented OCR-based text and image recognition solutions and results visualization.

Testing Automation GUI Testing OCR Image Recognition Visualization