Open to opportunities

Charles Gagnon

@charlesgagnon

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Senior AI, Cloud and Full Stack Engineer building production-ready ML and infrastructure solutions.

Canada

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What I'm looking for

I seek roles where I can build and deploy ML and cloud infrastructure systems end-to-end, collaborate with cross-functional teams, and drive research into production while optimizing cost and performance.

I am an AI engineer, cloud infrastructure specialist, and full stack developer with hands-on experience building zero-to-one prototypes, open-source projects, and large-scale deployments. I specialize in machine learning model integration, event-based vision, and cloud systems automation.

At Prophesee I developed synthetic event-based datasets, novel motion segmentation and asynchronous multi-object tracking algorithms, and star-mapping/source-finding methods for high-speed imaging and calibration. My AEMOT algorithm improved tracking performance by 37% on a bee swarm benchmark and I built a vibration-measurement engine using event sensors for power-equipment fault analysis.

As a cloud infrastructure engineer and consultant I delivered tools and engines that reduced AWS resource usage, managed node reboots for GPU installs, and created energy-management systems for HPC and cloud environments. I combine strong software engineering, DevOps, and data-science skills to move research into reliable production systems.

Experience

Work history, roles, and key accomplishments

Current

Senior Consultant

Current

Resurgo.io

Mar 2025 - Present (7 months)

Consulted to improve the AI engine for Resurgo.io, delivering enhancements to model performance and integration for production workloads.

Computer Vision Python Data Pipelines Performance Tuning AWS Docker CI CD

Computer Vision Engineer

Prophesee

Sep 2023 - Sep 2025 (2 years)

Developed synthetic event-based datasets, novel motion segmentation and AEMOT tracking algorithms, and calibration tools for event cameras, improving detection/tracking accuracy and enabling space and ground monitoring applications.

Event Based Vision Computer Vision CNN Data Generation Python CARLA Algorithm Development

Cloud Infrastructure Engineer

CloudNordic

Mar 2021 - Aug 2023 (2 years 5 months)

Built reboot automation for NVIDIA node installs, resource usage tooling, and an energy management system, reducing AWS resource consumption by 7% and improving cluster operational efficiency.

AWS Terraform Docker Shell Scripting Automation Monitoring HPC Resource Management

ML | Full Stack Engineer

HubHaus

Dec 2019 - Nov 2020 (11 months)

Developed a social network scraping engine, improved ML model performance by 20%, and implemented payment tracking and cleaning scheduling features for the platform.

Web Scraping Machine Learning Python Backend Development Data Engineering APIs Automation

Education

Degrees, certifications, and relevant coursework

Laval University

Bachelor's degree, Computer Science

2015 - 2019

Activities and societies: Studied applied and fundamental mathematics; blockchain research related to supply chain and data integrity; software development, cloud computing, and API programming.

Completed a Bachelor's degree in Computer Science with coursework and research in applied and fundamental mathematics, blockchain for supply chain and data integrity, software development, and cloud computing.