Maxime Gélinas is a Team Lead and data engineer with a decade of experience building cloud-native, event-driven systems and AI-powered data pipelines. He designs and operates production solutions that combine ML, GenAI, and traditional services—recent projects include Whisper transcription, PaLM-driven summarization, and hybrid ML/LLM classification for call-insight extraction. A pragmatic proponent of DDD, CQRS and event sourcing, he has migrated monoliths to microservices and automated complex projections for real-time synchronization. Comfortable across backend, full-stack and infrastructure-as-code (Terraform, GCP, Kafka, Dataflow), he also coaches teams and acts as Scrum Master to raise delivery quality. Curious and self-taught, he routinely experiments with new architectures and collaborates with vendors like Google and telecom partners to validate speech and AI integrations. Based in Longueuil, Quebec, he blends hands-on coding with system-level design to turn messy, unstructured data into actionable business insight.
10 years of coding experience
7 years of employment as a software developer
Collegiate Technique in Management Computing, Collegiate Technique in Management Computing at CEGEP of St-Hyacinthe
Studies in baccalaureate Management Computing, Studies in baccalaureate Management Computing at Université de Sherbrooke
Contributions:23 releases, 58 commits, 34 pushes in 21 days
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Maxime Gélinas - Team Lead, Data Engineer Definity