Julien Marchand

Julien Marchand

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Head of Engineering - Linea zkEVM @ ConsenSys
Paris, Île-de-France, France

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Résumé

Jobs verified_user 0% verified
  • Consensys
    VP of Engineering - Linea zkEVM @ Consensys
    Consensys
    Oct 2020 - Current (6 years 1 month)
    I lead three teams covering backend and smart contract engineering, cryptography, and DevOps/security for Linea. The work spans protocol implementation, prover and arithmetization development, and the infrastructure and security foundations needed to run a zkEVM at scale.
  • Consensys
    Engineering Manager - Protocols @ Consensys
    Consensys
    Mar 2019 - Oct 2020 (1 year 8 months)
    Leading engineering teams focused on the development:

    Orchestrate & Quorum Key Manager: Plug & Play component that manages the full lifecycle of a transaction, from crafting to decoding. Orchestrate is meant to be used by Solutions Architects, Developers, Integrators, and others developing, deploying, and scaling enterprise blockchain solutions. Quorum Key Manager is a universal Key & Account Management solution for blockchain applications
  • Consensys
    Tech Lead & Architect
    Consensys
    Dec 2017 - Feb 2019 (1 year 3 months)
    Led prototyping and delivery of blockchain-native applications for enterprise clients, turning early-stage ideas into production-ready systems.
  • EY
    Tech Lead at EY Experience Lab
    EY
    Sep 2015 - Dec 2017 (2 years 4 months)
    As Tech Lead at the EY Experience Lab, I endorse the role of Data Scientist, full stack developer as well as project manager.

    ► Main missions
    - Lead projects involving scientific knowledge - Machine Learning, Deep Learning, Graph analysis
    - Conceive and implement an application development stack based on docker, Python/Flask and ReactJS mainly
    - Design of the data laboratory architecture
    - Manage development team and projects, external/internal communication
    - Trainer in Big Data / Python / coding best practices

    ► Main technologies
    - Machine Learning: scikit-learn, keras
    - Backend: Python Flask (flask-SQLAlchemy, flask-restful, flask-security, etc.)
    - Frontend: ReactJS (redux, re
  • Bluestone acquired by EY
    Data Scientist - Consultant
    Bluestone acquired by EY
    Feb 2015 - Sep 2015 (8 months)
    ►Consultant at L'Oréal:
    - Conception of a data extraction and processing software for client data
    - Query automation and optimization
    - Unsupervised Learning: development of a clustering tool (PCA, HAC & T-SNE)
    - Supervised Learning: development of a prediction module based on random forest and SVM
    - Dashboard of data visualisation / interactive clustering
  • K
    Statistical analyst - Consultant
    Keople
    Sep 2014 - Dec 2014 (4 months)
    Data analysis and statistics to understand the digital knowledge of employees - banking sector
  • SAP
    Intern developer
    SAP
    Mar 2014 - Aug 2014 (6 months)
    Storage, analysis and visualization of data from the LHC
    ➜ Development of an ETL into SAP HANA (In memory - column oriented DB) - C++
    ➜ Development of a data analysis and visualization tool - JavaScript, OpenUI5
    ➜ Data: subatomic particles from the Large Hadron Collider (CERN)
  • Sendsteps
    Intern developer
    Sendsteps
    Jul 2013 - Sep 2013 (3 months)
    Development of some websites and website features - CRM management, showcase website and online vote plateform - (HTML, PHP, JavaScript)
Education verified_user 0% verified
  • IMT Atlantique
    Master of Engineering - MEng, Mathematics and Computer Science
    IMT Atlantique
    Jan 2011 - Jan 2014 (3 years 1 month)
    Diplôme d'ingénieur généraliste
  • Institution Sainte Marie dAntony
    Classes préparatoires - MPSI / MP
    Institution Sainte Marie dAntony
    Jan 2009 - Jan 2011 (2 years 1 month)
    Mathematics, physics, and engineering
Projects (professional or personal) verified_user 0% verified
  • H
    Hackathon: Thomson Reuters - Hack the Valley
    Jan 2017 - Current (9 years 10 months)
    Participation to Hack the Valley blockchain hackathon organized by Thomson Reuters in Baar, Switzerland. My team and I completed a hack combining blockchain and IoT.
  • T
    Transform an undesirable plant in a biofuel
    Apr 2013 - Current (13 years 7 months)
    Transform an undesirable plant called Jussia in a biofuel, by an hydrothermal liquefaction
  • M
    Market analysis of power management solutions
    Dec 2012 - Current (13 years 11 months)
    Our team of four engineering students from the Ecole des Mines de Nantes was called for a ten-day consultancy project by the firm EasyVirt. The aim of this project was to analyze the market of Power Manager (Software analyzing and controlling the energy consumption of IT device) and write a development report, to prepare the development of effective software for power management.
  • P
    Placement Optimizer
    Nov 2013 - Feb 2014 (4 months)
    Le projet Beyond the Clouds a pour but de concevoir un gestionnaire d'architecture virtualisée (ensemble de Machines Virtuelles fonctionnant sur des Machines Physiques) complètement distribuée et automatisée.
    Un des composants de ce projet est capable de détecter les machines virtuelles en manque de ressources (cpu, ram, ...) et de redistribuer les vm sur les pm pour répondre aux demandes en ressources de chaque vm. Notre tâche est d'apporter des améliorations à ce composant afin de prendre plus de dimensions en compte et de diminuer le temps de calcul.
  • M
    MSE
    Mar 2012 - Jun 2012 (4 months)
    Dans ce projet, il a fallu étudier les échanges thermiques au sein d'un cube de plâtre dans lequel on a introduit une résistance thermique.
    Dans un premier temps, il a fallu mettre en place un modèle bi-dimentionnel afin de faire les 1er simulation numérique, puis un modèle tri-dimentionnel a été donné par les enseignants que nous devions optimiser.
    Ce travail d'optimisation c'est divisé en différente tâche. Je devait pour ma pare mener plusieurs expérience afin de déterminer les valeur de caractéristique thermodynamique de l'étude.
Awards verified_user 0% verified
  • I
    Winner of "EY world datascience.net challenge about predicting cyclist performances"
    Issued by EY
    In December 2016, EY launched a worldwide internal data science challenge on datascience.net – an online platform for machine learning and AI competitions. The goal is to train mathematical models to predict a target value, given some correlated variables (base features).

    With over 850 contributors competing for the win, my team “EY Lab Paris” managed to win the challenge.

    See full article about the approach we have implemented at
    https://lab-blog.ey.com/2017/01/31/datascience-net/
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