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My Experience

Currently seeking full-time internship with Pre-Placement Offer potential

Intel

Role: DevOps Project Intern

Duration: March 2025 - Present

At Intel, I'm leading the deployment of the RAGDock Orchestrator, a sophisticated multi-container AI application that leverages Retrieval Augmented Generation technology. This cutting-edge project has enhanced my expertise in:

  • Orchestrating complex containerized environments with Docker Compose, managing interdependencies between vector databases, API backends, and frontend UI components
  • Collaborating directly with AI developers to translate their requirements into optimized container configurations
  • Troubleshooting and resolving environment-specific issues across the development pipeline
  • Implementing best practices for AI application deployment in enterprise environments

This experience at a global technology leader has deepened my understanding of how DevOps practices need to evolve to support next-generation AI applications.

Caze Labs

Role: DevOps Intern

Duration: May 2024 - Present

At CazeLabs, I've been instrumental in transforming the deployment infrastructure for the IOS-MNC project, driving significant improvements in automation and reliability:

  • Revolutionized the deployment process by implementing CI/CD pipelines with GitHub Actions, reducing deployment time by 90% and accelerating the release cycle
  • Conducted comprehensive reviews and optimizations of complex Dockerfiles, successfully resolving over 95% of containerization issues that were impeding reliable deployments
  • Architected CI pipelines for multi-organization GitHub platforms that execute both root-level and context-specific tests, significantly improving cross-repository integration
  • Worked closely with development teams to streamline their workflow through automated testing and deployment, fostering a DevOps culture throughout the organization

This role has allowed me to gain hands-on experience with industry-standard DevOps tools and practices while making measurable improvements to production systems in a professional environment.