AI Agent Mastery: From Architecture to Optimization
Arize University · cert km5cz8md
Senior Infrastructure Engineer focused on AI infrastructure, cloud-native platforms, and reliable operation of distributed systems.
Overview
I design and operate scalable platforms on Kubernetes, AWS, Infrastructure as Code, and GitOps. The focus is not only individual tools, but how platforms stay secure, observable, maintainable, and operable over time.
In my current role I work on production-grade cloud and platform solutions across Kubernetes, observability, backup & recovery, CI/CD, security, and AI infrastructure — combining hands-on engineering with architecture decisions, automation, and operational ownership.
Experience
Production cloud and platform engineering: Kubernetes, observability, backup & recovery, CI/CD, security, and AI infrastructure (Fourier AI).
Continued cloud-native platform work across Kubernetes, GitOps, reliability automation, and AI infrastructure between Brander and CONTACT.
Scalable, highly available systems; IaC with Ansible, Terraform, and Pulumi; CI/CD with Jenkins, GitLab CI, and GitHub Actions; GitOps with Argo CD and Flux; observability with Prometheus, Grafana, CloudWatch, and ELK.
Infrastructure operations, enterprise systems, virtualization, and technical leadership.
Credentials
Arize University · cert km5cz8md
Amazon Web Services (AWS)
Google Cloud
Selected work
Deterministic pre-deployment failure simulation with policy gates, causal graphs, and post-change evidence.
GitOps control plane for industrial digital twins: OpenUSD composition, drift, reconciliation, and incident replay.
Supply-chain blast-radius control plane: Discover → Trace → Decide → Enforce → Verify — don't count CVEs, predict reach.
Restore should be proved, not assumed. PROTECT → VALIDATE → RESTORE → PROVE with binary PROVED / UNPROVED evidence.
Public signals
Andrey Lesnikov, Senior Infrastructure Engineer at CONTACT Software GmbH, was listed 3rd in the Company Award category.
Proof page ↗Explore the architecture