Eugene Brodsky is a Senior Software Engineer and platform architect with 20+ years of hands-on experience designing scalable, secure cloud infrastructure across GenAI, biotech, retail, and IoT. He builds production-grade platforms that scale from startups to enterprise, combining multi-cloud architecture, Kubernetes, IaC (Pulumi/Terraform), and strong SRE practices to keep services >99.99% available. At Invoke AI he led the rapid launch of a GenAI PaaS and drove SOC2 Type I/II compliance in record time, enabling enterprise adoption while maintaining single-tenant data segregation and GitOps delivery. His background includes massive compute orchestration for drug discovery (1.3 PFLOPS on a single EKS cluster) and cost optimizations using Spot instances and autoscaling. A pragmatic engineer and mentor, he pairs meticulous operational discipline with a curiosity for emerging tech—contributing DevOps improvements to popular projects like InvokeAI and tinkering with drones, 3D printing, and electronic music in his spare time. Based in Toronto, he brings rare cross-domain fluency that turns complex compliance and scaling challenges into reliable, auditable platforms.
10 years of coding experience
14 years of employment as a software developer
Incomplete Bioinformatics, Incomplete Bioinformatics at University of Toronto
Toronto Metropolitan University
Honours Diploma Audio Engineering and Production, Honours Diploma Audio Engineering and Production at Harris Institute
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
Role in this project:
DevOps Engineer & Configuration Specialist
Contributions:198 reviews, 58 commits, 108 PRs in 1 month
Contributions summary:Eugene primarily focused on configuring and improving the installation process for InvokeAI, specifically concerning the handling of Hugging Face tokens and model downloads. Their contributions involved modifying the configuration script to improve authentication, provide clearer error messages, and gracefully handle various scenarios, including the absence of a TTY. They also addressed issues related to model downloads and file permissions, enhancing the user experience and robustness of the installation procedure. Furthermore, they deprecated the interactive CLI flag and replaced it with the `--skip-sd-weights` flag.
Contributions:18 commits, 4 PRs, 2 pushes in 1 year 5 months
apiexportrancherconfigrancher-api
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Eugene Brodsky - Senior Software Engineer at Invoke AI