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Bilel Saghrouchni

📍Lyon | bilel.saghrouchni@gmail.com

Experience​

PhD Candidate in Machine Learning – INSA Lyon / SPIE ICS​

🗓️ Nov 2023 – Present

  • CIFRE Thesis: "Anomaly detection through reinforcement and adversarial learning for a Zero-Trust cybersecurity architecture: application in the healthcare sector"
  • Research, development, and evaluation of deep reinforcement learning algorithms (Double Deep Q-Learning), machine learning (clustering), and deep learning. Development of a data processing pipeline for model training and visualization. Modeling of a data structure and analysis of network traffic characteristics.
  • Collaboration with local hospitals: project management, ML algorithm deployment, data collection, preparation, and visualization for ML applications.
  • Communication and popularization of research work and core AI concepts. Participation in R&D strategy around generative AI, testing and presenting SPIE ICS offerings to clients.
  • Supervision of an intern (3 months) for the development of a web application for capturing, processing, and visualizing network traffic.
  • Stack: Python (TensorFlow, Scikit-learn, Gym, MLFlow, Streamlit), React, Postgres, Docker

Software Engineer – Devoteam​

🗓️ June 2022 – September 2023

Design and development of innovative solutions around the ServiceNow platform

  • Implementation of a Federated Learning algorithm for image recognition in a smart store | TensorFlow, OpenCV, Flask / Python
  • Development of a smart voice assistant for technicians | NLP, Rasa, VOSK / Python, JavaScript
  • Pre-sales activities: client demos, drafting technical and commercial proposals, participation in calls for tenders

Software Engineer – ETIC, INSA Lyon​

🗓️ Sept 2021 – April 2023

  • Development and deployment of a maintenance application for a national transport company: design and modeling of the database and backend architecture | Git, Angular, TypeScript, Flask, Postgres, AWS BeanStalk, S3, Lightsail

Data Scientist (Intern) – Worldline​

🗓️ April – August 2021

  • Processing of financial transaction data for fraud prediction: data collection, cleaning, and preprocessing | Pandas, Scikit-learn, Flask
  • Optimization of banking transaction data retrieval and development of a web application for integration | Angular, ExpressJS, CubeJS, SQL

Education​

INSA Lyon — Telecommunications Engineering​

🗓️ 2019 – 2022

  • Top 5% of class
  • Courses: AI, programming (C++, Python, Go), databases, networks

National University of Singapore (NUS)​

🗓️ January – May 2022

  • Academic exchange: Information Retrieval, Computer Security, Feature Engineering

Black belt in Judo​

17 years of competitive practice: regional and national level. Referee for local-level competitions.

Research and Publications​

  • 2025 — Comprehensive Comparison of Streaming Clustering-Based IDS @KES
  • 2024 — Towards An Unsupervised Reward Function For A Deep Reinforcement Learning Based IDS @CSNet [DOI]

Technical Stack​

PythonTensorFlowGymnasiumStable-baseline3Scikit LearnLangchainStreamlitML-FlowUVpre-commit

Projects​

Awards​

  • 🏆 3rd place, Code4Good Ericsson (2022), Vivatech Pitch
  • 🥇 1st place, Devogame Devoteam (2021)
  • 🏅 3rd place, Safran Black Out Challenge (2021)

Last updated: July 2025