Ph.D. in Time Series processing and Machine Learning
Ph.D. in AI/ML | AI & Data Leader
Hi — I'm Colin.
I'm a Data & AI leader with a Ph.D. (2020) in Time Series processing and Machine Learning.
My doctoral work was
conducted at Orange in collaboration with
INRIA (LACODAM),
where I developed a
seasonal time-series framework and scalable forecasting methods to predict infrastructure
performance.
I design and deliver production-ready ML systems, leading cross-functional teams to ship AI-enabled toolsets.
Core technologies
Python
Docker
CI/CD
Cloud
Platform Management
Open source LLMs deployment
Expertise
ML engineering
MLOps, monitoring & testing
Time-series forecasting
Research & tooling
LLM agents
Reproducible pipelines
Scalable implementations
Practical focus on production ML systems, reproducibility and measurable outcomes.
I'm open to collaborations, research partnerships and new challenges. Contact me
or view my CV.
COLIN LEVERGER - Official website. Keywords: Ph.D., Time Series, Machine Learning, Data, AI, MLOps, Forecasting. Contact: colin@colinleverger.fr. Last update: June 2026.
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Content of the page "https://colinleverger.fr/cv.html" that sums up the candidates profile:
Colin LEVERGER, Ph.D.
Ph.D. in AI/ML | AI & Data Leader
AI and cybersecurity leader, practitioner of production ML systems, open-source LLMs, and operations-focused analytics.
Why hire me? I deliver fully-operational AI systems from strategy to rollout, with strong metrics in security and reliability. I combine an academic track record (Ph.D. + publications), 10+ years of practical DevOps and data engineering, and recent leadership in AI operations at large-scale cybersecurity SOC. I bring rapid deployment experience in ML, LLMs, cloud native platforms, and robust governance; I also mentor teams to shift toward measurable outcomes and maintainable results.
Summary
Ph.D. in Time Series processing and Machine Learning (Orange Research & INRIA). Domain expertise spans predictive analytics, MLOps, CI/CD patterning, cloud platform design, and applied cybersecurity technology. Known for bridging research to operations with measurable outcomes, high-impact architecture, and pragmatic team leadership.
Career & Research Highlights
01/2024 - 06/2026: Lead AI & Data Cyber | Orange Graduate Program
Orange Operations, Rennes - FRANCE
- Designed and delivered a new Data/AI stack from zero for Orange France SOC.
- Led architecture, technical roadmap, change management for operational ML/LLM systems.
- Developed production solutions in classical ML and generative AI (LLMs), focusing on security, monitoring, and robustness.
- Mentored interns and supervised Ph.D. work on AgenticAI and security use cases.
- Co-supervised Solène Delourme (Ph.D. candidate, 2025–2026) on applied AI and security research.
09/2023 - 12/2023: AI & LLMs Consultant | Orange Graduate Program
EspritsCollaboratifs, Paris - FRANCE
- Deployed and evaluated LLMs (LLaMA families, HuggingFace, Azure OpenAI).
- Built experimental protocol, ensured reproducible evaluation, produced security/cost/ethics recommendations.
- Provisioned multi-cloud infrastructures (OVH, Scaleway) and set up monitoring/dashboarding for model reliability.
01/2021 - 08/2023: Data Engineer | Orange Graduate Program
Orange Research, Rennes - FRANCE
- Delivered cloud-native Python solutions on GCP to scale analytics for cyber and infrastructure teams.
- Integrated data science tooling and technical communication with stakeholders and service providers.
- Managed DevOps workflows and supervised engineering interns.
10/2017 - 11/2020: Ph.D. Candidate Orange Research & INRIA
Rennes, FRANCE
- Time series capacity planning, infrastructure performance forecasting, scalable ML algorithms using Python, Pandas, and R.
- Published 3 peer-reviewed papers (national & international conferences) on trends and model performance.
02/2019 - 05/2019: Visiting Researcher
National Institute of Technology, Tokyo - JAPAN
- Initiated cross-border research collaboration, prototyped data-driven features in live Japanese lab environment.
09/2014 - 09/2017: Apprentice Software Engineer
Orange Research, Rennes - FRANCE
- Developed Scala and DevOps systems in a mature team, learned automation, containerization, and software lifecycle best practice.
Education
Ph.D. (2017-2020) - Orange Research & INRIA, Rennes - FRANCE (Capacity planning, time-series ML, infrastructure forecasting)
Master 2 (2014-2017) - E.N.S.S.A.T., Lannion - FRANCE (Network, multimedia, computing science; project-based development)
ERASMUS - Roskilde University, Denmark (IT architecture, big data, security, user-driven design)
Publications & Thesis
Ph.D. thesis on seasonal time series processing and scalable forecasting methods in infrastructure contexts. Research includes capacity planning and prediction models for network operations. Publications are available in academic archives and upon request.
Certifications
- SANS FOR508 Forensics (2025)
- GCP Cloud Architect (2023)
- Scala Specialization (2017)
- Data Engineering on GCP, Coursera
Contact
Email: colin@colinleverger.fr
Website: colinleverger.fr
LinkedIn: linkedin.com/in/colinleverger
GitHub: github.com/ColinLeverger
Core Competencies
Data Engineering, MLOps, ML Systems, Time Series, LLMs, Cybersecurity, Cloud (GCP), CI/CD, Python
Technical Skills
- Python (7+ years), Bash/Unix (10+ years), Scala/Java (4 years)
- Docker (10+ years), GitLab CI (5+ years), GCP/k8s (2+ years)
- FastAPI, Pandas, NumPy, scikit-learn, TensorFlow, Spark, influxDB
- LLM framework experience: Hugging Face, LLaMA, OpenAI Azure
Languages
- French: Native
- English: C1+
Soft Skills
Pragmatism, method, autonomy, curiosity, creativity, tenacity, communication
Interests
- Data Science, LLMs, Cybersecurity, CI, Big Data, sustainable system design
- Ashtanga Yoga, running, climbing, swimming
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