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Curriculum Vitae

Antoine Guillaume

Email: antoine.guillaume45@gmail.com
GitHub: github.com/baraline
Born: December, 1994

Profile

As a research engineer specializing in AI, I acquired experience through projects in the industrial sector (predictive maintenance, prediction of rare events, forecasting) and in the industrialization of AI projects. I also lead training and change management workshops for these types of projects and provide consulting services to assist in the creation of enterprise AI platforms. I also participate in the open-source AI ecosystem through NumFOCUS with aeon.

Employment History

Research Fellow

Novahe & Constellation | 2024 – Present

  • Supervision and structuring of the group's R&D activities
  • Involvement in Research Tax Credit applications
  • Participation in internal and external AI projects in collaboration with partners (IBM, Oracle)
  • Training activities on AI and risk prevention
  • Active participation in the industrialization of projects, using technologies such as Docker, Kafka, Prometheus, and Grafana
  • Deployment on Red Hat systems and interfacing with the Azure environment

Key Technologies: Python, Data Engineering, Project Management, Training, Generative AI

Postdoctoral Researcher

ENSTA Paris | 2022 – 2024

  • Development of a rare event prediction solution using sensor data for an EDF use case
  • Collection and preprocessing of datasets from technical documentation
  • Proposal of algorithmic solutions adapted to business constraints
  • Communication around the results and the method in the group's seminars

Key Technologies: Python, Data Engineering, Predictive Modelling, HPC, Communication

Part-time Lecturer

University of Orléans | 2019 – 2022

  • Teaching activities for bachelor's and master's degree students in statistics and machine learning applied to time series
  • Educational content creation

Research and Development Engineer

Worldline, Financial Services Department | 2018 – 2022

  • Project management and development of predictive maintenance solutions including research results
  • Development of new predictive models and data pipelines

Key Technologies: Java, SQL, Predictive Modelling, API, Project Management, Dashboards

Education

Ph.D. in Computer Science & Machine Learning

University of Orléans | 2019 – 2022

Thesis: Time series classification with Shapelets: Application to predictive maintenance

Research Fields: Time series analysis, transformation and classification, anomaly detection, survival analysis, trigger systems

Additional Activities: - Member of the organization committee of the yearly Ph.D. conference of the doctoral school - Ph.D. Students representative at the council of the doctoral school

Key Technologies: Python, C++, HPC, Scientific Writing, Communication

M.Sc. in Computer Science

University of Orléans | 2016 – 2018

Specialization: Intelligent and Secure Mobile Computing (IMIS)

Additional Diploma: Hadoop and Chemoinformatics via the Orléans Numérique "GSON" Graduate School

End-of-study Internship: (6 months) Development of a predictive maintenance tool for ATMs at Worldline in Blois

B.Sc. in Computer Science

University of Orléans | 2012 – 2016

Specialization: Software Engineering

End-of-study Internship: (4 months) Development of a network simulation and analysis module in Perl for an existing application at Sopra Steria in Orléans

Technical Skills

Programming Languages: Python, Java, C++, SQL, Perl

Machine Learning & Data Science: Time Series Analysis, Predictive Modelling, Anomaly Detection, Survival Analysis

Data Engineering: Kafka, Data Pipelines, HPC

DevOps & Infrastructure: Docker, Kubernetes, Prometheus, Grafana, Red Hat, Azure, CI/CD

Tools & Frameworks: Git, API Development, Dashboards

Open Source Contributions

aeon-toolkit - Core Developer

NumFOCUS | 2022 – Present

  • Implementation of algorithms from the time series literature with associated tests and documentation
  • Supervision of contributors and interns during Google Summer of Code
  • Repository: github.com/aeon-toolkit/aeon

Key Technologies: Python, Code Quality, Documentation, Testing, CI/CD, Networking

Research Interests

  • Time Series Analysis and Classification
  • Predictive Maintenance
  • Rare Event Prediction
  • Machine Learning for Industrial Applications
  • Anomaly Detection

Languages

  • French: Native
  • English: Fluent

Last updated: February 2026