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Curriculum Vitae

Education

  • University of Lille - Master in quantitative finance

    Academic Highlights
    • Asset pricing and hedging derivatives (Black & Scholes model, brownian movements and stochastic equations)
    • Empirical methods (diff in diff regression)
    • Financial theory
    • Machine Learning / Deep Learning (Keras - Tensorflow)
    • TimeSeries (financial forecasts, moving average)
    • Hot-Topics in finance (blockchain, cryptocurrency, peer to peer lending)
    • Ethic in finance (ESG reporting)

  • ISEN - Engineering degree in Computer Science and Finance

    Academic Highlights

    5th year

    • Behavioral Finance
    • International Finance
    • Futures Markets
    • Business Valuation
    • Treasury Management
    • Banking Management
    • Real Estate Investment (Pinel law, taxation, etc.)
    • Wealth Management (legal aspects)
    • Business Succession (Owner Buy Out system, ...)
    • Derivative Products (Bonds, forward contracts, futures)

    4th year

    • AI development
    • Programming Languages :
      • Android using Java, Maven, Kotlin
      • C#
      • HTML, CSS and Javascript
      • PHP
      • C
    • Network architecture
    • Digital Marketing

    3rd year

    • Quantum physics (Schrodinger equations, cristal atomic composition and others that I don't quite remember)
    • Electronics (Assembly coding FPGA, sound systems with filters and equations)
    • Applied mathematics with statistics MATLAB and Python

    2nd year

    • Physics: Fluid mechanics, MATLAB visualization
    • Mathematics: Brownian motion, Taylor expansions, ...
    • Engineering Sciences: Connections, 3D design, force calculations
    • Algorithmic Development: Bubble, Selection, Merge sorting algorithms with Python

    1st year

    • Math Sup (Mathematics Foundation Year)
    • Engineering Sciences
    • Project Management

  • Harvard Business School Online - Design thinking and innovation certificate

    Academic Highlights
    • SIT (Systematic Inventive thinking)
    • The four phases of innovation
    • 2x2 framework
    • Fogg model

Experience

Franchizor - Co-Founder - October 2025 - Present

  • Building AI-powered dashboards for franchise networks to centralize and analyze data
  • Developing unified platform integrating POS, Excel, accounting, payroll, and HR systems
  • Creating real-time dashboards with smart alerts and custom role-based access
  • Full-stack development and product design

Deltalytix - Founder & Developer - 2023 - Present

  • Building a web-based trading journal for futures traders to store, explore, and analyze trading history
  • Developing quantitative tools to help traders make better decisions
  • Full-stack development using modern web technologies
  • Product development and user experience design

App-Prove - Founder - 2023

  • Created a cybersecurity startup aimed at making the audit process more efficient, accessible, and user-friendly
  • Led product development and user experience design
  • Project ended after 8 months due to extreme market competitiveness with established players (Codrabbit, Codeant, and later Cursor Bugbot)

Mazars - Trainee IT Auditor - 2022/2023

  • Audit on accounting softwares
  • Data analytics regarding financial flows
  • In-House software development
    • Built team management dashboard using HTML, Javascript and CSS obviously
    • API development using Python

Cofidis - Fullstack developer - june/september 2022

  • Project Leader for fraud identification amongst image documents
  • Chatbot using RASA framework, training machine learning algorithm for Natural Language Processing/Understanding

Projects

  • Franchizor - since October 2025

    AI-powered dashboards for franchise networks. Centralize data from POS, Excel, accounting, payroll, and HR into one unified, real-time dashboard with smart alerts and role-based access.

  • Deltalytix - since 2023

    Empowering traders with performance tracking and quantitative tools to make better trading decisions.

  • Stein Programs - since January 2020

    Developing quantitative automated trading strategies and a cutting-edge news API. Leveraging decentralized finance by developing solutions to reduce market asymetries.

  • Dry-aging appliance - since early 2022

    Dive into budget-friendly gourmet at home with the help of machine learning and computer vision. Enjoy the extraordinary flavors of dry-aged meat, cheese, wine, and sausages—all effortlessly tailored by the appliance.

  • Pattern Recognition Algorithm - from September 2022 to May 2023

    Identifying financial market patterns based on historical variations. Throughout this work, we came to the conclusion that modern markets are highly driven by emotions.