Freelancer profile translated to English.
Back to original languageAbout Amine
AI & Software Development Engineer, specializing in machine learning, numerical optimization, and data analysis.
I assist my clients in the design, development, and implementation of intelligent, high-performance, and robust solutions.
🎯 What I do:
AI algorithm development (classification, RL, optimization)
Data analysis and preparation
Python development (APIs, scripts, data pipelines)
Mathematical modeling & advanced optimization
Cloud & DevOps (in progress of consolidation): CI/CD, containerization, ML deployment
Technical consulting & AI R&D support
🧠 Mastered Techniques:
Machine Learning (scikit-learn, PyTorch, TensorFlow)
Reinforcement Learning (MC, TD, DQN, Tsetlin Machine)
Data processing (NumPy, pandas)
Mathematical modeling & optimization
Python architecture & development best practices
💼 Why choose me?
Rigorous, scientific, and results-oriented approach
Strong adaptability
Clear communication and teamwork experience
Passion for R&D and complex projects
📍 Based in Paris — available in person or remotely
French
Native or bilingual
English
Fluent
Arabic
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Crush OnFreelanceLUXURY GOODSJanuary 2025 - Today (1 year and 5 months)Paris, FranceDigitalization and optimization of IT processes for store management• Participation in the redesign and optimization of internal management systems.• Implementation, maintenance, and integration of IT solutions adapted to the store's needs.• Use of DevOps/Git for development tracking and solution deployment.• Discovery and initial use of the Microsoft Dynamics CRM interface, in conjunction with commercial and customer relationship management.• Experience in coordinating commercial and operational activities, with a performance and agility-oriented approach.
- Université de limogesOptimization of a Wireless Sensor Network (WSN) – RL & EnergyENERGY AND UTILITIESApril 2024 - September 2025 (1 year and 5 months)Limoges, France
- Simulation of a sensor network (WSN) for energy management
- Development of Reinforcement Learning models:
Monte Carlo, Temporal Difference, Deep Q-Learning, Tsetlin Machine- Optimization of decision policies to reduce energy consumption
- Scientific analysis & experimental validation
- Université de Pise, Laboratoire de Mathématiques AppliqueInternshipINTERNET OF THINGS (IOT)May 2023 - September 2023 (4 months)Pisa, PI, ItalySubject: Non-backtracking Page Rank• Applied and implemented the PageRank algorithm on networks of connected nodes, such as websites, to evaluate the relative importance of nodes.• Implemented the Non-backtracking PageRank variant to optimize the algorithm's performance on networks without backward steps.• Technical environment: Python, Maple, Ample, Matlab, C++, NetworkX, igraph.
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Education
- Master's DegreeUniversity of Limoges, Faculty of Sciences and Technology2024Master
- Master's DegreeFaculty of Science and Technology Settat2022Master