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Mickael BestardMB

Mickael Bestard

R&D ENGINEER

€150/day
Grenoble, FR
3-7 years
Optimization
scientific computing
Agile methodology
DevOps
Applied mathematics

Average response time: 1 hour

Freelancer profile translated to English.
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About Mickael

HPC researcher and engineer at the crossroads of applied mathematics and software engineering. I operate from numerical schemes to production deployment, with 5 years of experience in scientific simulation and active practice of DevOps and product leadership.
Digital Business Models
Biotechnologies
Consulting and Audits
Education Systems, Research, and Universities
Digital and IT Services

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Grenoble (up to 50km)

Experience

  • Double Crème, CRM augmenté
    CTO & CSO
    CONSULTING AND AUDITS
    December 2025 - Today (8 months)
    Paris, France
    Context: Design and management of an augmented CRM for VSEs/SMEs in the IT sector (ESN, consultants, freelancers), from prototype to production.
    • Definition of product positioning and pricing strategy, focusing on automatic detection of "hot prospect" signals and automated follow-ups
    • Design of the AI architecture (LLM inference, vector search, database) and management of its deployment on Kubernetes cloud infrastructure
    • Dockerization of the Flow-ER application with client stack isolation for secure multi-tenant deployment
    • Scrum management of a multidisciplinary product team, organization of sprints and roadmap until the beta launch (July 2026)
    • Structuring of the commercial offer and preparation of prospecting for the first pilot clients (early adopters)
    Agile methodology DevOps artificial intelligence Machine learning JavaScript
  • CNRS Université de Lorraine
    R&D ENGINEER
    PHARMACEUTICALS INDUSTRY
    January 2023 - January 2025 (2 years)
    Nancy, France
    Context: Optimization of Fortran codes for multiphase fluid simulation for chromatography.
    • Reduction of computation time by ×2–×3 on multiphase chromatographic simulations through OpenMP parallelization, memory tuning (cache locality), and BLAS/LAPACK acceleration
    • CPU/memory performance analysis (profiling) on legacy Fortran codebase, identification of bottlenecks, targeted refactoring, and improvement of numerical scheme stability/convergence
    • Technical interface role within a multidisciplinary team (chemists, mathematicians, computer scientists): translation of business constraints into implementation choices, coordination of developments
    scientific computing Applied mathematics Mathematical modeling Optimization HPC
  • CNRS Université de Strasbourg
    R&D ENGINEER
    TRANSPORTATION
    January 2020 - January 2023 (3 years)
    Strasbourg, France
    Context: Optimal control of a macroscopic road traffic model on a network — high-dimensional optimization.
    • Acceleration ×4–×5 of the offline computation pipeline by building reduced-order models (ROM), allowing exploration of a parameter space inaccessible with full-resolution simulation
    • Automatic differentiation of the controlled numerical scheme via ForwardDiff.jl (Julia) — native integration into the optimization loop without manual analytical derivatives
    • Physical model / machine learning hybridization: implementation of a differentiable numerical scheme within a TensorFlow loop, for supervised training of a physically consistent surrogate
    • Technical direction (lead dev) of a team of 3 researchers for the Julia development of a multiphase fluid simulation numerical scheme (algal biofilms)
    • Proof of concept published as open source (GitHub)
    Deep Learning Optimization Mathematical modeling scientific computing Control systems

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Education

  • PHD IN APPLIED MATHEMATICS
    University of Strasbourg
    2023
    DOCTORAT EN MATHÉMATIQUES APPLIQUÉES
  • MASTER CSMI — Scientific Computing and Innovation Mathematics
    University of Strasbourg
    2020
    Mathématiques appliquées, calcul haute performance, modélisation, simumation, optimisation, Machine learning, IA, développement logiciel

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