Stanislas Atchekou
Projects and Innovations Engineer @VINCI Energies
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WORK HISTORY
Projects and Innovations Engineer @VINCI Energies
Paris, FR
EDUCATION
École nationale supérieure d'électricité et mécanique - Casablanca
Engineer's degree
Institut Polytechnique de Paris
Certified training
Lycée Houffon - BENIN
Baccalauréat Série-C
Ecole Nationale Supérieure d'Electricité et de Mécanique (ENSEM)
Engineer's degree
FST Settat
Scientific and Technical University Diploma (DEUST)
ABOUT STANISLAS ATCHEKOU
Industrial Systems & Applied AI Engineer | Dual Degree from Top Engineering Schools | Innovation & Advanced Technologies serving industry As an engineer specialized in automation, industrial computing, embedded systems, and applied artificial intelligence, I have built a versatile profile at the intersection of industrial operations and cutting-edge digital technologies. What drives me: bringing innovation to industry by leveraging the opportunities offered by AI, intelligent agents, and advanced automation to facilitate engineers\' work, optimize processes, and increase productivity. My dual degree in engineering has given me a broad vision of Industry 4.0, strengthened by concrete projects and company missions where I implemented AI-based solutions applied to industrial systems. Key Technical Skills: ↳ Industrial Computing & Automation • Programmable Logic Controllers & SCADA: TIA Portal, WinCC, Step7, PCS7 • Supervision, DCS, Grafcet, Petri Nets • Industrial protocols: Profibus, Profinet, TCP/IP • Simulation and control: MATLAB, Simulink • Embedded systems: VHDL, FPGA, ROS2, DSP, microcontrollers ↳ Applied Artificial Intelligence (Data & Agents) • Generative and applied AI for industry: OpenAI, Mistral, RAG, LLM fine-tuning • Deployment of AI solutions: Azure OpenAI, Microsoft Copilot Studio, Copilot 365 • Data Science: Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras • Visualization & business apps: Streamlit, Flask • Natural Language Processing (NLP), SVM, clustering, regression, etc. The approach adopted is based on a deep understanding of industrial systems combined with a targeted use of AI to create value, simplify complexity, and effectively address the challenges of industry.
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