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anwarden/README.md

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🎓 Applied Mathematics & CS @ École des Ponts IP Paris

Quantitative Development | Software Engineering | ML Engineering

Building data-driven solutions at the intersection of quantitative finance, software engineering, and machine learning

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🔵 About Me

  • 🎓 MSc&Eng Student at École des Ponts et Chaussées, one of France's leading engineering schools (GPA: 3.7/4.0)
  • 🏆 Ranked 8th out of 2,633 in Morocco's highly competitive National Engineering Entrance Exam (CNC)
  • 💼 Tech Lead @ KI - Architected and scaled uPont platform serving 1,800+ active users
  • 🧮 Currently developing an AI-Enhanced Monte Carlo Option Pricer combining classical quantitative methods with modern ML
  • 🏅 National Math & CS Olympiads Semi-finalist | IOI Training Participant | Active LeetCode problem solver
  • 🎯 Seeking Quant Dev | SWE | ML Engineer internships where I can leverage strong mathematical foundations and software engineering expertise
  • 🔬 Deep expertise in stochastic calculus, optimization, algorithmic trading, and scalable distributed systems

🔵 Tech Stack

Languages & Core

C++ Python SQL Bash OOP

Data Science & ML

PyTorch Scikit Learn XGBoost Pandas NumPy Jupyter

Quantitative & Mathematics

Statistics Stochastic Calculus Optimization Monte Carlo

Tools & DevOps

Git GitHub Docker Linux MySQL phpMyAdmin


🔵 GitHub Stats

GitHub stats


🏆 Key Achievements

⭕ €100k+ Client revenue Impact project      ⭕ 8th/2,633** in Morocco's National Engineering Exam
⭕ ICPC 2022 honored participant             ⭕ National Olympiads Semi-finalist

🔵 Featured Projects

Quantitative Finance | C++ | Machine Learning

Developing a production-grade option pricing engine that combines Black-Scholes analytics with Monte Carlo simulation and ML-based volatility forecasting. Demonstrates deep understanding of financial derivatives and computational finance.

  • ⭕ Object-oriented C++ architecture for performance
  • ⭕ Python ML module for volatility prediction
  • ⭕ Integration of classical quant methods with modern AI

Impact: Bridging academic finance theory with real-world trading applications

High-Performance Computing | Physics | C++

Built a 60 FPS physics simulator handling 100+ interacting entities with optimized numerical methods. Showcases systems programming and computational physics expertise.

  • ⭕ Euler integration with adaptive timesteps
  • ⭕ Modular OOP design for extensibility
  • ⭕ Real-time collision detection & resolution
  • ⭕ Interactive visualization and controls

Impact: Strong foundation in performance-critical systems and numerical computing

Full-Stack Development | DevOps | Database Design

Led development of mission-critical platform serving 1,800+ students daily. Managed infrastructure supporting €100k+ in client operations with 99.9% uptime.

  • ⭕ MySQL database managing 1,000+ user records
  • ⭕ Docker containerization for scalability
  • ⭕ phpMyAdmin interface for admin operations
  • ⭕ Event coordination for 700+ exam candidates

Impact: Proven ability to architect, deploy, and maintain production systems at scale


"Combining mathematical precision with engineering pragmatism to solve complex problems"


Actively seeking opportunities to apply my quantitative and engineering skills to real-world challenges in finance, tech, or ML.

Available for 4-12 month internships starting July 2026

Let's Connect

Interested in quantitative trading, software infrastructure, or ML systems? Let's connect!

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  1. Atprog-Puzzler Atprog-Puzzler Public

    Puzzler.io - A puzzle game

    Makefile