
Hello, I'm
DevOps & Cloud Engineer | AWS Certified | DevSecOps & MLOps | AI & LLM Engineering
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2 years
Hands-on Experience
Bachelor's in Information Technology(Ongoing, Final Year)
I'm a DevOps Engineer and AWS Certified Solutions Architect–Associate with hands-on experience building cloud-native infrastructure, automating deployments, and operating production workloads on AWS. My work spans Infrastructure as Code, CI/CD, Kubernetes, DevSecOps, cloud security, observability, and MLOps — delivering secure, scalable, and highly available platforms.
As a DevOps Engineer at IMS Software, I build and manage production systems end to end — deploying a RAG assistant application, running MLOps workflows with MLflow and DVC, containerizing workloads with Docker and Kubernetes, integrating DevSecOps scanning like Trivy and SonarQube into CI/CD, and designing a full observability stack with Prometheus, Grafana, and Loki.
I'm also an active open-source author — I've published production-grade Kubernetes and MLOps learning paths — and I built and host DevOps Hub, an interactive platform for DevOps learning and interview preparation.
My goal is to bridge DevOps, Security, and AI — building reliable, secure, and intelligent cloud-native systems.
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Your comprehensive platform for mastering DevOps concepts, practicing interviews, and building hands-on experience with real-world scenarios. This interactive learning hub provides structured content, practical exercises, and industry-relevant knowledge to help professionals and students excel in their DevOps journey.
A production-grade, open source Kubernetes learning path — 46 sequential lessons across 14 modules, 46 hands-on labs, 47 production-ready manifests, and 23 architecture diagrams. Includes CKA/CKAD/CKS exam prep and a capstone project, covering container fundamentals through GitOps, operators, autoscaling, and production troubleshooting.
A production-grade MLOps curriculum built for infrastructure engineers — 43 structured guides across six learning tracks, covering ML fundamentals, the core MLOps stack, production engineering, and LLMOps. Includes an 8–10 week learning path and 10 portfolio projects to help DevOps engineers transition into MLOps.
My
AWS
Credential verifying cloud architecture skills.
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Udemy
Certification for DevOps practices and tools.
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Credential for foundational cybersecurity skills.
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ISC2
Disaster Recovery and Business Continuity Planning
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CISCO
Credential for networking fundamentals.
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DataCamp
Understanding of generative AI fundamentals and concepts.
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DataCamp
Mastery of prompt engineering techniques and best practices.
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