Summary
Maxime Lewandowski is a Machine Learning Engineer with 11 years of experience who specializes in MLOps, scalable infrastructure and bridging software engineering with research workflows. He transitioned from freelance full‑stack work and startup CTO roles to building GPU‑accelerated deployment, autoscaling Kubernetes inference, and end‑to‑end ML pipelines at AI startups. At Nabla he led in‑house LLM experiments, automated ML infrastructure with Terraform and Slurm on GCP, and built a developer playground giving researchers easy GPU and dataset access. Obsessed with clean architecture, automation and performance, he also runs a personal Kubernetes cluster and experiments with electronics and microcontrollers in his spare time. Maxime combines hands‑on DevOps, backend tuning (Postgres indexing/optimization) and production ML know‑how to make research systems actually run reliably at scale.
11 years of coding experience
4 years of employment as a software developer
Master's Degree in Engineering Computer engineering, Master's Degree in Engineering Computer engineering at EPITA: Ecole d'Ingénieurs en Informatique
Computer Engineering, Computer Engineering at Chulalongkorn University
French, English