Michael J. Cohen

• Scale and coach platform engineering teams (7–16 engineers) responsible for high-availability Kubernetes infrastructure and distributed tenancy services.
• Architected validation and integration for NVIDIA GB200/GB300 GPUs to support next-generation ML workloads for strategic customers.
• Delivered a high-throughput log collection and observability platform, improving incident response times across production services.
• Implemented AI-assisted log analysis pipelines with LLM tooling, reducing average ticket resolution time.
• Led retirement of a legacy tenancy system, achieving $50M+ annual infrastructure savings.

• Contributed to the launch of Azure Classroom Labs, enabling universities to provision managed environments without individual Azure accounts.
• Designed student-facing workflows that reduced onboarding friction and simplified virtual lab setup.
• Introduced production monitoring and alerting that improved system health visibility and reliability.
• Automated SQL IaaS VM image creation, increasing deployment success rates from roughly 70% into the mid-90s.

• Led cross-functional client engagements, owning delivery from architecture through launch across AWS and Azure ecosystems.
• Implemented distributed systems tailored to each project's scale, security, and compliance requirements.
• Facilitated agile collaboration with stakeholders to manage scope, tradeoffs, and iterative releases.

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