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Josias EliseeJE

Josias Elisee

Ingénieur Senior R&D et IA

670 €/jour
Valence, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Josias

As a senior scientific R&D and software engineer, I bridge applied physics, mathematical modelling, and high-performance software to turn complex ideas into robust, production-grade systems. Over the past decade I have:
- Designed modular architectures for large-scale fare/ticketing engines and delivered mission-critical embedded software running across hundreds of field devices
- Built simulation and validation toolchains that accelerated integration and de-risked delivery
- Led quality transformations through advanced testing and CI, contributing to a 99% drop in production incidents
- Managed dozens of concurrent initiatives under Agile/Scrum
- Mentored cross-site teams to shared engineering standards

Domains & strengths: numerical optimisation and PDE-based modelling, 2D/3D & volumetric imaging, scientific computing, systems design, and performance tuning—applied across transport, healthcare imaging, and SaaS environments.

Communication & impact: former Master-level teaching assistant; author of extensive technical documentation; comfortable aligning research goals with operational constraints and executive priorities.
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • JOSIAS ELISEE E.I.
    Scientific Software Consultant
    CENTRES DE RECHERCHE
    mars 2026 - Aujourd'hui (3 mois)
    Valence, France
    I accelerate scientific and engineering software by combining numerical modeling/simulation expertise with rigorous software engineering and pragmatic AI/ML know-how. I typically operate in short, tightly scoped missions: clarifying the problem, building a PoC, validating outputs, and upgrading the stack (performance, architecture, CI/CD, reproducibility, documentation).

    Core capabilities include 2D/3D simulation, performance optimization, LLM fine-tuning strategy and evaluation, and scientific quality auditing (methodology, assumptions, validation criteria, and result consistency). I also support teams with technical documentation and hands-on training to make solutions maintainable.
    LLM Physics Applied Mathematics Python AI Agents
  • Career break
    Career transition
    EDUCATION & E-LEARNING
    novembre 2024 - février 2026 (1 an et 3 mois)
    Valence, France
    Full-time upskilling and hands-on prototyping across ML, LLMs, and agentic tooling targeting independent consulting
    - Designed and trained time-series prototype neural networks as part of an optimization re-training initiative (Python/NumPy/PyTorch on CUDA) with data-quality checks, imbalance handling, and validation workflows
    - Stood up local + hosted LLM stacks; experimented with quantization/decoding to balance latency, cost, and quality
    - Building a Python/LangChain application handling multilingual inputs beyond context size combining NLP and LLM technology
    LLM Machine learning Python AI Agents Retrieval-Augmented Generation (RAG)
  • ASTEK
    Ingénieur Consultant Senior
    TRANSPORTS
    janvier 2021 - novembre 2024 (3 ans et 10 mois)
    Guilherand-Granges, France
    Client company: Conduent Business Solutions

    Engaged in a multi-year mission to overhaul and innovate within the core ticketing and fare-engine domain for major public transport projects. My role evolved from pure architecture to hands-on development of mission-critical systems and technical leadership.

    - Architected and prototyped a scalable, multi-tenant C# fare-engine architecture designed for configurability and future growth
    - Delivered mission-critical embedded C++ software now in production across hundreds of validators on the Paris public transport network as part of a €1Bn+ infrastructure project
    - Spearheaded the creation of an innovative C++/CLI device simulator, which was championed by the client and adopted as the primary validation tool, significantly accelerating testing and integration phases
    - Mentored and provided technical leadership for developers across international teams (France, Australia), fostering best practices in complex project environments
    - Drove a culture of quality and knowledge sharing by authoring over 80% of the team's entire technical documentation from the ground up, creating a lasting asset for the organization
    My expertise and impact were recognized with an offer for a senior-level promotion, reflecting the value I delivered even amidst significant project challenges and pivots

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Formations

  • PhD Computational Physics
    University College London
    2011
    • Internationally recognized research in mathematical and physical modelling (published in peer-reviewed journals) • Acquired advanced numerical methods development skills in the: - Optimisation, modelling and simulation of the solutions of partial differential equations - Usage and development of 3D models of real objects - Integration of my code with an existing C++/MATLAB package
  • Diplôme d'Ingénieur (Master's degree)
    École Centrale Paris
    2007
    Award: Hoschet Prize 2006 - 2007 (for exceptional academic achievement) • Acquired skills in physics (grade A+), modelling and simulation (grade A), computer science (grade A), continuum mechanics (grade A), fluid dynamics (grade A+) • Acquired commercial awareness skills alongside the science as part of the curriculum (e.g. management – grade A) • Worked in various environments during internships abroad (India, etc.)

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