Othmane EL YAAKOUBI

Introduction

I am an Operations Research specialist with strong expertise in optimization algorithms, combined with a growing background in backend engineering. Over my career, I have designed and implemented advanced solutions for complex decision-making problems, particularly in vehicle routing, scheduling, and logistics optimization. My work spans real-world and research-driven projects, including electric vehicle routing with charging constraints, train dispatching optimization, ride-sharing systems, and large-scale combinatorial problems like TSP and CVRP. I specialize in: Mathematical modeling (PuLP, CPLEX, Gurobi) Metaheuristics (Genetic Algorithms, ACO, hybrid methods) Optimization under real-world constraints (multi-objective, dynamic systems) Algorithm design for NP-hard problems On the engineering side, I build Python-based backend systems and APIs, enabling scalable deployment of optimization solutions. I’m comfortable working across the stack with tools like Flask, SQLAlchemy, MySQL, and Redis. My experience includes: Delivering optimization solutions as a freelancer for logistics and transportation use cases Improving operational performance Research and implementation of industrial optimization methods during my internship in France I bring a combination that is relatively rare: deep algorithmic thinking + practical software engineering skills, allowing me to move from theory to production-ready solutions. I am currently open to freelance projects and full-time opportunities, especially in: Optimization / Operations Research Applied AI for logistics, mobility, and decision systems If you are working on complex optimization challenges or scalable systems, I’d be glad to connect.

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