Hassane AZZI
Backend Development Engineer C++ / Java / Python
Mobility: Île-de-France, Toulouse, Bordeaux
Activities: Software Development, Operations Research, Optimization, Machine Learning
Defense clearance: Secret Defense (currently valid)
Employed
Open to opportunities
Professional Profile
Computer Science Engineer, option: Operations Research & Optimization (M2INFO_RO - 2016) from ENAC (Ecole Nationale de l'Aviation Civile), I apply my expertise in operations research, advanced algorithms, and software development (C++, Java, Python) to projects across various industrial sectors. My combined scientific and technical skills enable me to develop robust and optimized solutions tailored to challenges of performance, reliability, and operational efficiency.
Computer Science Engineer, option: Operations Research & Optimization (M2INFO_RO - 2016) from ENAC (Ecole Nationale de l'Aviation Civile), I apply my expertise in operations research, advanced algorithms, and software development (C++, Java, Python) to projects across various industrial sectors. My combined scientific and technical skills enable me to develop robust and optimized solutions tailored to challenges of performance, reliability, and operational efficiency.
Optimization Engineer, Renewable Energy Management, and Storage
Naldeo Digital for Climate
Since May 2024
Temporary Work
Tarnos
- As part of a temporary increase in activity for various projects with the Naldeo company, my role during this mission is to support different clients (Omexom, Valorem and Urbasolar) in the development of optimal management solutions for hybrid energy systems in non-interconnected zones (ZNI), in particular overseas departments and regions (Corsica, Martinique, Guadeloupe, Reunion Island and Mayotte). This advanced energy management solution is capable of maximizing the revenues of hybrid power plants, by optimizing production in real time according to the announced program, the actual state of the plant and the updating of production forecasts.
Detailed Description
- Sizing studies and performance assessment of hybrid power plants
- Development and delivery of the ENERBIRD EMS software system (energy optimization, control, and monitoring) for several hybrid renewable energy plants (wind and solar), integrating battery storage.
- Implementation of optimization and operations research algorithms (MILP, MINLP, genetic algorithms) to control renewable energy generation and storage plants.
- Development of a machine learning predictive model capable of estimating electrical energy production with improved accuracy over a 24-hour horizon.
- Design of energy simulators and management of commissioning and acceptance testing phases.
- Participation in defining the technological development roadmap.
- Technical Environment: Python, Visual Studio Code, Machine Learning (Neural networks), Scikit-Learn, PyCharm, MLflow, GitLab, Matlab/ Simulink, Optimization Tools and Frameworks (PuLP, Gekko, Pyomo), Model Predictive Control (MPC), SCADA.
Company Description
NALDEO Digital for Climate, a subsidiary of the NALDEO Group, specializes in consulting and developing digital tools to support climate action and the energy transition.
Company website