Curriculum Vitae
Physicist turned software engineer with 6+ years building scalable Python pipelines and high-performance numerical workflows on distributed HPC systems. Hands-on experience with ML frameworks (Scikit-learn, TensorFlow, Keras), data engineering at TB scale, and automated end-to-end processing in Linux environments. I've delivered production-quality tools in international, collaborative settings. Based in Valencia, Spain, open to relocation to Torino, Italy.
Work Experience
- Designed scalable Python pipelines for automated extraction, transformation, and analysis of TB-scale simulation data on distributed HPC infrastructure (14.8 M+ core-hours, SLURM)
- Automated parametric sweeps over 100+ configurations, eliminating manual post-processing bottlenecks
- Secured two competitive computing grants: 6.1 M core-hours (Nov 2024) and 8.7 M core-hours (Mar 2025)
- Delivered validated, reproducible datasets to a 5-country collaboration under strict project deadlines
- Built a modular Python framework automating the full lifecycle of numerical parameter studies, from job submission to statistical comparison
- Standardised reproducible data workflows across research groups using Git and documented codebases
- Developed end-to-end data processing pipelines in Python and Fortran on national HPC clusters (530 k+ core-hours)
- Implemented coupled numerical solvers and validated outputs against analytical benchmarks, iteratively improving model accuracy
- Contributed to an open-source scientific computing tool adopted by the community
- Lead author on 5 peer-reviewed publications; 19 co-authored publications total
Skills
Languages: French (native) · English (fluent) · Italian (A2)
Portfolio Projects
Training & Certificates
IBM AI Engineering Professional Certificate
IBM / Coursera · 9 courses
9 courses ▸
IBM AI Engineering Professional Certificate
IBM / Coursera · 9 courses
Generative AI Language Modeling with Transformers
Jul. 2026
Gen AI Foundational Models for NLP & Language Understanding
Jul. 2026
Generative AI and LLMs: Architecture and Data Preparation
Jul. 2026
AI Capstone Project with Deep Learning
Jul. 2026
Deep Learning with PyTorch
Jul. 2026
Introduction to Neural Networks and PyTorch
Jul. 2026
Deep Learning with Keras and TensorFlow
Jun. 2026
Introduction to Deep Learning & Neural Networks with Keras
Jun. 2026
Machine Learning with Python
Jun. 2026
SQL for Data Science
UC Davis / Coursera · Jul. 2026
Data Analysis Using PySpark
Coursera · Jun. 2026
SQL for Data Science Capstone Project
UC Davis / Coursera · Jun. 2026
SQL (Advanced)
HackerRank · Jun. 2026
Simulink Onramp
MathWorks · May 2026
MATLAB Onramp
MathWorks · May 2026
Hands-on Explainable AI (XAI)
AI Factory Austria / TU Wien · Feb. 2026
Foundations of LLM Mastery: Retrieval Augmented Generation
AI Factory Austria / TU Wien · Nov. 2025
Foundations of LLM Mastery: Prompt Engineering Essentials
AI Factory Austria / TU Wien · Nov. 2025
Introduction to Deep Learning
AI Factory Austria / TU Wien · Nov. 2025
Introduction to Deep Learning
University of Valencia · Oct.-Dec. 2025
Introduction to Artificial Intelligence with Python (CS50AI)
HarvardX · Sep. 2025
Machine Learning and AI with Python (CS109xa)
HarvardX · Oct. 2025
Education
PhD in Astrophysics
Paris Observatory, Sorbonne University
Thesis: Unified Modeling of Gamma-Loud AGN. Supervisors: A. Zech & Z. Meliani. Scholarship ED 127.
MSc in Astronomy, Astrophysics & Space Engineering
Paris Observatory
BSc in Physics
University of Normandy, Caen
Selected Publications (lead author, 5 of 19 total)
- Jet-red giant interactions as a source of extragalactic neutrinos: insights from KM3-230213A. MNRAS 544 (2026)
G. Fichet de Clairfontaine, M. Perucho, J. M. Martí - Dynamic and Radiative Implications of Jet-Star Interactions in AGN Jets. A&A 693 (2025)
G. Fichet de Clairfontaine, M. Perucho, J. M. Martí, Y. Kovalev - Hadronic Processes at Work in 5BZB J0630-2406. ApJL 958 (2023)
G. Fichet de Clairfontaine et al. - Flare echoes from relaxation shocks in perturbed relativistic jets. A&A 661 (2022)
G. Fichet de Clairfontaine, Z. Meliani, A. Zech - Flux variability from ejecta in structured relativistic jets with large-scale magnetic fields. A&A 647 (2021)
G. Fichet de Clairfontaine, Z. Meliani, A. Zech, O. Hervet
Full list → Google Scholar ↗