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.