Hi, I'm
DevOps Specialist and AI Platform Engineer with 8+ years building CI/CD platforms, cloud infrastructure, and Generative AI workflows that scale.
I'm a DevOps Specialist and AI Platform Engineer with 8+ years architecting, securing, and scaling cloud infrastructure and CI/CD systems. I integrate Generative AI across the software development lifecycle, including an AI-SDLC model built for safe, consistent delivery.
At Amdocs I own the internal Microservices Container Platform and the pipelines behind two enterprise and consumer products. That work cut production errors by 90%, improved deployment efficiency by 30%, and reduced vulnerabilities by 25%, while keeping critical production systems at 99.9% availability.
I focus on platforms that let teams ship AI capabilities with the same rigor as the rest of the stack: automated rollouts, security compliance, and high availability.
Pune, India
dastanuj.3012@gmail.com
B.Tech, Electronics & Telecom
Amdocs, Pune
ConvergeSol Pvt. Limited
Jumpstart Filings
Nisum
Designed and operationalized a four-pillar AI-SDLC — requirements, architecture overview, vibe coding, and verification — so Generative AI is used safely and consistently across the software development lifecycle.
Own the internal Microservices Container Platform for hosting, packaging, and CD-based rollout, so developers can integrate and deploy AI capabilities inside daily workflows.
Architected and optimized CI/CD for two critical enterprise and consumer products on OpenShift, Jenkins, Nexus, and Bitbucket, with automation that removed most production errors.
Implemented security measures and infrastructure protocols for cloud environments, cutting vulnerabilities and keeping critical production systems highly available.
Design and run a four-pillar AI-SDLC — requirements, architecture overview, vibe coding, and verification — so Generative AI is used safely and consistently across delivery.
Architect CI/CD on OpenShift, Jenkins, Nexus, and Bitbucket. Raised deployment efficiency by 30% and shortened feature delivery for enterprise and consumer products.
Own the internal Microservices Container Platform for hosting, packaging, and CD rollouts, so developers ship AI capabilities inside existing workflows.
Automation that cut production errors by 90% and held 99.9% availability on critical production systems.
Security controls and vulnerability management across cloud environments, including a 25% reduction at Amdocs and Packer plus AWS Inspector work that cut vulnerabilities by 20%.
Docker and Kubernetes containerization that accelerated delivery cycles by 25% and cut manual release effort by 40% through Jenkins pipelines.
Terraform-based infrastructure with release management, artifact control in Nexus, and Git and Bitbucket workflows for repeatable rollouts.
End-to-end ownership of deployment and migration work, delivered with 100% on-time execution alongside product, QA, and platform teams.
Amazon Web Services
The Linux Foundation
HashiCorp
Electronics & Telecommunication
Dr. A.P.J. Abdul Kalam Technical University (AKTU)
CISCE (ISC)
CISCE (ICSE)
I'm actively looking for AI Platform Engineer, AI DevOps, and Forward Deployed Engineer (FDE) roles, and I'm eager to learn and take on new challenges in AI. Reach out if you'd like to connect about opportunities, infrastructure work, or cloud-native technologies.
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