Sophie De Coppel
Artificial Intelligence Researcher at VIVES University of Applied Sciences
Ghent Metropolitan Area Belgium
Summary
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Rockstar🎓
Top SchoolSophie De Coppel is an artificial intelligence researcher with three years of hands-on experience applying mathematical rigor to real-world data products. Trained in mathematics and mathematical engineering and currently completing an advanced AI master with a Big Data Analytics focus at KU Leuven, she bridges theoretical foundations with applied ML and cloud deployment. Her work at dataroots ranged from image segmentation and style transfer for consumer-facing home design tools to production ML consulting, and she now advances applied research at VIVES University of Applied Sciences. Comfortable with Python, Azure, time-series tooling and visualization from earlier analytics roles, Sophie combines strong quantitative instincts with an eye for practical, user-focused solutions. Colleagues describe her as driven and creative, with a knack for turning abstract models into interpretable insights for stakeholders.
3 years of coding experience
3 years of employment as a software developer
Advanced Master of Engineering - MEng Artificial Intelligence, Advanced Master of Engineering - MEng Artificial Intelligence at KU Leuven
English, Dutch, French
Github Skills (26)
speech9
ai8
llm8
openai8
machine-learning7
speech-synthesis7
text-to-speech7
deep-learning7
python7
object-detection6
data-visualization6
data-analysis6
speech-to-text6
pytorch6
ui-components6
Programming languages (2)
Github contributions (5)
sophieDataroots/guardrails
Jun 2023 - Aug 2023
Adding guardrails to large language models.
Contributions:9 pushes in 1 month
SophieDC98/chatarena
Nov 2024 - Nov 2024
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
Contributions:5 pushes in 6 days
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