Nov 2025 – Present · 6 mos · Remote

Nov 2022 – Nov 2025 · 3 yrs · Remote

• Core Value: Driving org-wide DevOps transformation, SRE reliability, and AI-driven operational efficiency
• Key Impact & Achievements:
• Saved $200K/year by scaling DevOps pipelines, cutting agent licensing, and optimizing AKS workloads.
• Achieved 99.99% CI/CD uptime over 18 months — even during exam peaks with >5,000 concurrent users.
• Enhanced platform security by 70% fewer vulnerabilities with RBAC, secret rotation (Azure Key Vault), and Terraform guardrails.
• Reduced manual incident response by 80% using AI-driven ChatOps, auto-remediation scripts, and proactive alerting.
• Improved system response times by 40% by adopting service mesh, Redis queues, and scalable Kubernetes (AKS/EKS).
• 🔹 Core Platforms & Advanced Projects :
• Generative AI CoE: Built and operated scalable GenAI/LLM platforms on Kubernetes with MLOps pipelines, GPU orchestration, and RAG-based data integration, optimizing performance and cost.
• SANDS: Designed and managed cloud-native distributed systems with microservices, service mesh, and high-availability architecture, ensuring reliability and scalability in production environments.
• SCML: Orchestrated HPC-driven machine learning workloads integrating distributed training, simulation pipelines, and hybrid cloud execution with efficient resource utilization.
• Tech Stack: GitHub Actions, OKE, Terraform, Azure AKS, Azure DevOps, Prometheus, Grafana, GitOps, Python, Bash, Service Mesh, ChatOps, HashiCorp Vault

Nov 2019 – Oct 2022 · 2 yrs 11 mos · Remote

• Core Value: Building scalable, secure, and observable platforms enabling DevOps maturity across multi-cloud environments.
• Key Impact & Achievements:
• Designed and deployed multi-cloud Kubernetes clusters (AKS, EKS, OKE) with Terraform, Helm, and GitOps — standardized infra provisioning across 3 business units.
• Automated platform provisioning pipelines, reducing deployment time by 65% and configuration drift by 30%.
• Consolidated CI/CD frameworks and YAML templates across 50+ services, improving delivery speed and consistency.
• Implemented SRE metrics and dashboards (MTTR, CFR, uptime) with Prometheus, Grafana, and Azure Monitor — improved issue detection time by 40%.
• Integrated RBAC (Role-Based Access Control), secret rotation, and compliance guardrails — achieving 70% fewer security incidents.
• Led platform modernization from monolithic .NET to containerized microservices — reduced infrastructure footprint by 25% and improved scalability.
• Mentored 2 cross-functional teams on IaC best practices and cost optimization, lowering platform costs by $120K/year.
• Tech Stack: Kubernetes (AKS/EKS/OKE), Terraform, Helm, GitHub Actions, Azure DevOps, Prometheus, Grafana, Ansible, Redis, PostgreSQL, Key Vault, Vault

Nov 2016 – Oct 2019 · 2 yrs 11 mos · Remote

• Core Value: Leading cloud-native modernization across mission-critical academic platforms
• Key Impact & Achievements:
• Migrated legacy apps to containerized .NET/Golang microservices with blue/green & canary deployments via Helm + ArgoCD.
• Automated provisioning of AKS clusters and serverless Azure Functions using IaC (Terraform + Helm) — built infra in 3 weeks instead of 6.
• Reduced configuration drift by 30% via Ansible automation and standardization.
• Delivered 70% faster deployment of archival workflows using modularized Terraform.
• Separated testing & production pipelines, reducing production rollback by 60%.
• Built CI/CD YAML templates for reusability across 80+ pipelines; cut maintenance overhead by 50%.
• Integrated GitHub Advanced Security, secrets scanning, and shift-left tooling into pipelines.
• Reduced merge conflicts by 40% and CI flakiness by 70% through VCS policies and retry logic.
• Tech Stack: Azure DevOps, Terraform, Helm, GitHub Actions, Ansible, AKS, SonarQube, Redis, PostgreSQL, Key Vault, OpenTelemetry

Nov 2013 – Oct 2016 · 2 yrs 11 mos · Remote

• Core Value: Automation foundation, DevOps enablement, and early IaC/cloud excellence
• Key Impact & Achievements:
• Reduced Azure DevOps license costs by 30% (~$200K/year) — gained promotion to Senior Engineer.
• Built multi-stage YAML pipelines and migrated manual builds to full CI/CD automation with PowerShell and Terraform.
• Cut manual release efforts by 80%, accelerating SDLC cycles with IaC-based provisioning.
• Automated deployments of C# apps via Ansible across Linux/Windows, reducing config drift by 30%.
• Containerized applications and deployed on EKS and later AKS; maintained production K8s reliability for 5,000+ users.
• Improved code coverage by 20% using SonarQube integration in CI pipelines.
• Resolved CI merge/rebase issues across teams, reducing failed builds by 70%.
• Eliminated leaked credentials by rewriting Git history with git-filter-repo for compliance.
• Tech Stack: Azure DevOps, Terraform, Ansible, Docker, Kubernetes, PowerShell, Python, Helm, Git, EKS, SonarQube, KQL