Abhishek Kumar

About Abhishek Kumar

Ensuring systems are consistently production-ready is paramount in today\'s dynamic tech landscape. As a seasoned Cloud & DevOps Engineer with over 10 years of experience, I thrive on bridging the gap between development, operations, and machine learning to ensure seamless deployment and scalability.My expertise spans cloud architecture (AWS, Azure, GCP), automation, and containerization (Docker, Kubernetes, RedHat OpenShift). Recently, I have expanded my focus into MLOps and Generative AI, building end-to-end infrastructure for machine learning models and AI agents.Core competencies include:Cloud & Infrastructure as Code (IaC): Architecting robust environments using Terraform, Azure ARM, AWS CloudFormation, and AWS CDK.CI/CD & DevOps: Automating software delivery pipelines using Azure DevOps, GitLab CI/CD, and Jenkins.MLOps & AI: Designing CI/CD pipelines for machine learning models, managing versioning and experiment tracking, and deploying models using KServe, Amazon SageMaker, and VMs.Generative AI Development: Building intelligent AI agents and Retrieval-Augmented Generation (RAG) systems utilizing LLMs, LangChain, LangGraph, and Azure OpenAI.Monitoring & Security: Implementing system reliability solutions with Grafana, Prometheus, and the ELK Stack, while maintaining rigorous cloud security standardsMy commitment to excellence is underscored by a strong foundation of certifications, including- AWS Certified Solutions Architect Professional- AWS Certified Solutions Architect Associate- AWS Certified Developer Associate- AWS Certified Sysops Administrator Associate- Certified Kubernetes Administrator (CKA)- Microsoft Certified DevOps Engineer Expert- Microsoft Certified Azure Security Engineer Associate- Microsoft Certified Azure Administrator Associate- Red Hat Certified Specialist in OpenShift Administration

Experience

1. Principal Devops Engineer

   Hexaware Technologies

   Aug 2023 — Present · Gurugram, IN

   Azure AI & Translation Service Project: Designed and provisioned highly scalable infrastructure on the Azure cloud using Terraform and Azure DevOps pipelines. Integrated Azure AI services to build a secure, enterprise-grade translation service equipped with PII (Personally Identifiable Information) detection and handling- Legacy to Cloud-Native Migration: Orchestrated the migration of legacy codebases to modern, microservices-based architectures using Kubernetes. Provisioned underlying AWS services utilizing AWS CDK and automated the lifecycle via Azure DevOps pipelines- MLOps Implementation: Established MLOps frameworks covering model versioning, experiment tracking, and fundamentals of model deployment. Automated CI/CD for models and enabled scalable serving using KServe, Amazon SageMaker, and Virtual Machines- Generative AI Integration: Leveraged LLMs, LangChain, LangGraph, and Azure OpenAI to architect and deploy custom AI agents and Retrieval-Augmented Generation (RAG) systems, enhancing internal operational workflows- Cloud Automation & Optimization: Managed robust DevOps environments using IaC tools (Terraform, Terragrunt), automated deployments via GitLab-CI and Jenkins, and led rigorous cloud security reviews and cost optimization initiatives. Engineered monitoring and release processes for high-availability applications using Python and Bash

Education

• Central Board of Secondary Education

  Matriculation

  2009 — 2010

• Krishna Institute of Engineering & Technology

  B.tech, Electronics and Communication Engineering

  2012 — 2016

• Central Board of Secondary Education

  Intermediate, Science

  2011 — 2012