Alexis Vialaret is a data and cloud infrastructure engineer with eight years of experience building scalable data platforms and leading engineering teams across retail, aviation, and automotive racing. As Co-founder and Data Lead at Wild Apex, he combines hands-on pipeline and GCP expertise with product-driven telemetry to shave seconds off lap times and cut maintenance costs. Previously he led platform and cloud foundations for a major Balkan retailer’s Data Lab at Artefact, shaping GCP strategy, Terraform automation, and team delivery for hundreds of users. His background includes predictive maintenance prototypes on constrained hardware, MLOps CI/CD, and real-time Kafka solutions—skills that bridge edge telemetry and enterprise cloud. Based in Paris, he’s available for freelance engagements and brings both startup grit and enterprise-grade process discipline. An unexpected detail: he once deployed a Hadoop-based analytics cluster on Raspberry Pis during a prototype, showing a taste for pragmatic, resourceful engineering.
9 years of coding experience
10 years of employment as a software developer
Diplôme d'ingénieur Electrical and computer engineering data science and data engineering, Diplôme d'ingénieur Electrical and computer engineering data science and data engineering at Eseo
A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
Contributions:1 release, 5 reviews, 117 commits in 1 year 1 month
gcpmlflowserverlessterraformdocker
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