Stanislas Atchekou

Projects and Innovations Engineer @VINCI Energies

Paris, FR
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Aug 2025 — Present

Projects and Innovations Engineer @VINCI Energies

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Paris, FR

EDUCATION

2021 — 2024

École nationale supérieure d'électricité et mécanique - Casablanca

Engineer's degree

2025

Institut Polytechnique de Paris

Certified training

2017 — 2019

Lycée Houffon - BENIN

Baccalauréat Série-C

2023 — 2025

Ecole Nationale Supérieure d'Electricité et de Mécanique (ENSEM)

Engineer's degree

2019 — 2021

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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Stanislas Atchekou — Projects and Innovations Engineer at VINCI Energies in Paris, FR | Unifers