Maximilien Charlier, PhD

Solutions Architect

Solutions Architect for an AWS Advanced Consulting and Well-Architected Partner, taking clients from pre-sales scoping to production hand-over. Specialised in IoT and data platforms, and in Well-Architected reviews of existing workloads.

• Designed and delivered AWS architectures for multiple clients, from pre-sales scoping to production hand-over.
• Led Well-Architected Framework Reviews, producing remediation roadmaps.
• Produce cost, effort and infrastructure estimates used directly in commercial proposals.
• Technical reference for developers on AWS best practices and infrastructure-as-code standards.

Cloud Developer

Designed and built cloud-native data and IoT solutions for industrial clients: serverless ETL pipelines consolidating multi-plant production data, APIs exposing it to business users, and LoRaWAN infrastructure for energy and environmental monitoring. Since October 2025, continuing hands-on cloud development alongside my Solutions Architect role.

• Migrated a scheduled Windows Python script to Lambda, Step Functions and EventBridge; improved reliability and reduced errors with CloudWatch/SNS alerts.
• Developed and maintained IoT and simulation platforms, orchestrating hours-long computations with Step Functions, EC2 and Lambda.
• Built serverless ETL pipelines (Step Functions, Lambda, DynamoDB, S3) consolidating data from 20 plants.
• Worked with Redshift for about a year, then adapted and maintained ingestion flows for a centralised system.
• Developed Python applications deployed via CI on on-premise Kubernetes and deployed applications on EKS; the infrastructure team administered the clusters.
• Designed and exposed REST APIs with Python/FastAPI behind API Gateway.
• Deployed and operated a LoRaWAN fleet of 500+ sensors on AWS IoT Core across 26 plants in 9 countries.
• Operated Kafka/MSK clusters for streaming ingestion of industrial telemetry.
• Industrialised deployments with AWS CDK (Python), replacing manual provisioning.

PhD Researcher

Networking and Telecommunications Lab, University of Mons. Research on scalable UWB-based indoor positioning systems covering large areas with high tag densities and positioning rates.

Research Assistant

Research on RPL, the IPv6 routing protocol for Low-Power and Lossy Networks, focused on wireless connectivity problems in linear topologies.

Intern

Compared the Ogre3D and Qt3D rendering libraries and built a scientific visualisation prototype in Qt3D (C++, Qt) with custom GLSL shaders.

Teaching Assistant

Led practical sessions in computer architecture for first-year Bachelor students: MIPS assembly and C on a prototyping platform — timers, interrupts and libraries.