MLOps & AI Engineering — Nelson Rogers on Nelson Rogers

Get in touch

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Let’s talk#

I’m open to discussions about MLOps/AI engineering opportunities, consulting, or collaborations.

Email nelsonrogers.pro@gmail.com

LinkedIn linkedin.com/in/nelson-rogers-03

GitHub github.com/nelsonrogers

Location Rhône-Alpes (Lyon, Chambéry, Grenoble, Annecy) or fully remote

Send a message#

Personal Projects

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Context. Neutreeko is an abstract two-player board game. This project started as a way to learn Python through practice — building something concrete rather than following tutorials.

Current state. The game is playable in two-player mode. The game engine, rule logic, and graphical interface are implemented in Python.

Next step. Building an AI opponent using Reinforcement Learning, with the goal of letting visitors play against my agent directly from the site.

Portfolio

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Career#

January 2026 – present

Supply chain AI platform owner

Groupe Flow Line · Lyon

I hold the architecture and every technical decision for an AI platform that plugs into clients' ERP (reference connector: Sage X3): sales forecasting, production scheduling, anomaly detection, replenishment optimisation. Industrialisation of data science work (Prefect, MLflow, RustFS) and design of the agentic layer (ADK, MCP servers built with FastMCP). Agentic production order scheduling layer for APERAM.
2025 – January 2026

References

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Feedback from my managers and collaborators across my professional experiences.

All testimonials were originally written in French.

"Nelson is a very approachable, competent and professional person. I had the opportunity to collaborate with him on the development of an MLOps platform, where he brilliantly took on the role of tech lead. I strongly recommend him for any project in this field."

André Polaszek · Atos · 2025

"Nelson demonstrates an unwavering determination to learn and improve, standing out particularly in key areas such as data science, generative AI, microservices, automation and DevOps. Nelson has integrated these skills remarkably in international projects, where his autonomous and innovative mindset contributed significantly to the team's successes. I am convinced that Nelson will continue to make an exceptional contribution to every project he undertakes. His rare combination of technical skills, willingness to learn and innovation makes him a standout professional."

Skills

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Languages & development#

Python
FastAPI
REST APIs
SQL
PySpark
Bash / Linux
Git / GitHub / GitLab
YAML
Django
Java / Spring

Platform, infrastructure & security#

Docker
Kubernetes
RustFS / S3 object storage
CI/CD (GitLab CI, Azure DevOps, GitOps)
Terraform / IaC
Argo CD / Flux CD
Microsoft Azure
Google Cloud Platform
AWS (ECS, Lambda, CodePipeline)
Azure Kubernetes Service
Azure Container Apps
On-premise deployment
Application security & DevSecOps
Observability (Prometheus, Grafana)

AI, machine learning & MLOps#

MLOps
Model industrialisation
Classical ML / time series
MLflow
Prefect
Apache Airflow
Azure Databricks
Agentic systems (ADK)
Model Context Protocol (MCP) / FastMCP
LLMs / GenAI
RAG & vector databases
Azure OpenAI / AI Search / AI Speech
Reinforcement learning
Anomaly detection
Operations research (OR-Tools, CPLEX)

Domains & business knowledge#

Supply chain & production planning
ERP / Sage X3
Sales & demand forecasting
Production scheduling
Replenishment optimisation
Health information systems
Cybersecurity
IoT & sensor data

Architecture & ways of working#

Solution architecture
Cloud-native architecture
Platform as a service
Multi-tenancy & data isolation
Agile / Kanban
Technical scoping & pre-sales
Technical leadership & code review
Proof of concept → production
Collaborative problem solving

Certifications & degrees#

Certification	Issuer	Year
Google Cloud Professional Data Engineer	Google	2023
Master’s-level Engineering Degree (Computer Science & Health Information Systems)	ISIS, Castres (INSA Group)	2023
TOEIC 990/990	ETS	2022

Patents & awards#

Title	Reference	Year
Method for configuring a data processing chain (US patent), co-inventor	US2024412073A1	2024
Procédé de paramétrage d’une chaîne de traitement de données (European patent), co-inventor	EP4475044B1	2026
Inventor Trophy	Atos	2023

Top of graduating class · ISIS Engineering School 2023