Alok Kumar Tripathi

About Alok Kumar Tripathi

Seasoned infrastructure and DevOps leader with over 14 years of hands-on experience architecting and scaling cloud-native platforms. I\'ve built my career mastering the fundamentals—Kubernetes orchestration, Linux systems, Argo workflows, and enterprise CI/CD pipelines—while evolving into the cutting edge of AI operations.My Journey: I\'ve spent more than a decade solving complex infrastructure challenges, from bare-metal Linux deployments to multi-cloud Kubernetes ecosystems. My expertise in MLOps positioned me perfectly to bridge traditional DevOps with the emerging AI landscape, where I now architect intelligent systems that leverage LLMs and AIOps to revolutionize operational efficiency.Core Expertise: Kubernetes & Cloud Native: Deep expertise in K8s architecture, multi-cluster management, service mesh, and cloud platform optimization (AWS/GCP/Azure) CI/CD & GitOps: Advanced implementation of Argo CD/Workflows, Jenkins, GitLab CI, and automated deployment pipelines Linux & Infrastructure: 14+ years of Linux system administration, performance tuning, and infrastructure automation🤖 MLOps: End-to-end ML pipeline orchestration, model deployment, monitoring, and lifecycle management🧠 AI & LLM Integration: Building production-ready LLM applications, prompt engineering, RAG systems, and AI-powered automation AIOps: Implementing intelligent monitoring, predictive analytics, and self-healing infrastructure using AI/MLWhat I Bring: The rare combination of battle-tested infrastructure knowledge and cutting-edge AI capabilities. I don\'t just deploy AI models—I build the robust, scalable platforms that make AI operations reliable at enterprise scale. My 14 years of foundation work in cloud and Kubernetes gives me the architectural insight to implement AIOps solutions that actually work in production.Current Focus: Architecting next-generation platforms where AI and infrastructure converge—using LLMs for intelligent automation, building AIOps systems that predict and prevent failures, and creating MLOps frameworks that make AI deployment as reliable as traditional software.Open to connecting with fellow technologists, discussing AI infrastructure challenges, and exploring opportunities where deep technical expertise meets innovation.

Experience

1. Senior System Engineer

   AutoZone

   Aug 2023 — Present · Gurugram, IN

Education

• Youth Cybersecurity Forum

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

  2007 — 2011