I am an AI PhD candidate and R&D engineer with a strong background in data science, Python engineering, and applied machine learning for scientific and industrial problems.
My experience covers the full data and AI workflow: data processing, structuring, validation, quality control, automation, model development, benchmarking, and performance analysis. I mainly work with Python, PyTorch, Graph Neural Networks, experiment tracking tools, and high-performance computing environments.
I am open to a broad range of data-related roles, including data science, data management, data quality, analytics, automation, AI engineering, and research-oriented software development. I particularly enjoy projects that require reliable pipelines, clean code, reproducible workflows, and rigorous technical analysis.
I actively use and evaluate recent agentic AI tools to accelerate software development, improve experimentation workflows, and support code quality, testing, documentation, and productivity. I am also currently learning Rust to better understand systems-level performance optimization and to explore faster components for Python-based data and scientific computing pipelines.
Experience Level
Language
Work Experience
Education
Qualifications
Industry Experience
Experience Level
Hire a Data Scientist
We have the best data scientist experts on Twine. Hire a data scientist in Grenoble today.