Systems Architect & Engineer Cloud · Edge · Hybrid · OnPremise Landing Zone · Data Mesh · IDP · GenAI · MLOps · FinOps
Architecting & engineering platforms with AI-first principles that embed security and compliance into every stage of the AI-assisted SDLC — transforming complex distributed systems into automated, deterministic environments that accelerate teams and transform businesses.
Current Focus Areas
- — AI & MLOps Infrastructure
End-to-end ML lifecycle on AWS, Azure, and GCP – from feature stores and model training to LLMOps, scalable inference, and production deployment.
- — Cloud Architecture
Full migrations from on-premise to cloud across Lift & Shift, Re-platform, and Re-architect – including assessment, roadmap, and execution.
- — SRE & Platform Engineering
Internal developer platforms with Backstage, golden paths, and self-service infrastructure – combined with SLOs, error budgets, and GitOps-driven automation.
- — FinOps
Structured cloud cost reduction of 20–50% through Reserved Instances, Spot strategies, and FinOps governance frameworks.
- — Cloud Security & Compliance
Zero-Trust architecture, IAM hardening, and continuous compliance guardrails – covering GDPR, SOC 2, and ISO 27001 across AWS, Azure, and GCP.