VP Engineering with experience in Python, Node.js/TypeScript, React, Kubernetes, Cloud & ML/LLM. I lead cross-functional engineering orgs to deliver strategic product outcomes.
Reduced build & test time by 55% through pipeline parallelization, caching, and test-splitting. Led a cross-functional delivery team; saved 30% dev time.
Tech: GitHub Actions, Docker, Kubernetes, Python
Designed a low-latency ML inference stack to serve LLM-backed features. Implemented model registry and cost-controls for GPU workloads.
Tech: TensorFlow/PyTorch, Docker, Kubernetes, NVIDIA GPU
Architected migration of legacy customers to a multi-tenant, auto-scaling platform with minimal disruption and clear rollback strategies.
Impact: Improved uptime and reduced infra cost by 18%
Ran a 90-day program to close critical vulnerabilities and establish SRE-driven security playbooks and incident response runbooks.
Featured posts: "How to align ML to revenue" (LinkedIn), "Platform cost optimization" (company blog). Add links to your published posts here.
Want me to help create a timeline, proofread your portfolio, or prepare for CTO interviews? Reach out for a short call.