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
Rust · XGBoost · SHAP · Real-time ML
Real-time anomaly detector across 8 fault classes: Macro F1 = 1.00, zero false positives, ~65 s alert latency.
Keras · Grad-CAM · Computer Vision
CNN classifier (CIFAKE) with Grad-CAM visual explanations highlighting which image regions drove each decision.
XGBoost · scikit-learn · Scenario Planning
Hourly electricity load forecast with what-if stress tests for heat waves, cloud cover, and supply shocks.
OpenFOAM · rhoCentralFoam · Python · HPC
Mach 1.5 compressible nozzle flow reproducing shock diamonds, the same physics as AGN jet reconfinement shocks.
Training & Certificates
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 ↗