Nathaniel Charlebois is an ML Ops Manager with nine years of experience building resilient, cloud-native AI and IoT systems from research prototypes to production. He led software and ML infrastructure at BluWave-ai—delivering Canada’s first automated AI energy purchase and architecting edge (Python) and backend (Go) platforms, Kubernetes microservices, and TimescaleDB-powered time-series pipelines. Now at BrainBox AI, he focuses on operationalizing models and scaling ML workflows, drawing on a background in low-power mesh networking and embedded Linux from his Carleton University research. Comfortable across the stack, he combines hands-on coding, system design, and team mentorship with a calm, personable demeanor and a knack for turning academic ideas into commercial products. An unexpected strength is his experience with both IETF-style protocol design and pragmatic cloud engineering, enabling robust integrations between constrained devices and large-scale ML services.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - B.Eng, Computer Engineering, Bachelor of Engineering - B.Eng, Computer Engineering at Carleton University
High School, Computer Technology/Computer Systems Technology, High School, Computer Technology/Computer Systems Technology at E.S.C Garneau
A collection of utilities to drive the current ambient LED setup.
Contributions:4 PRs, 58 pushes, 5 branches in 1 year 4 months
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Nathaniel Charlebois - ML OPs Manager at BrainBox AI