Vaibhav Burad

B.E.

Information

Technology student with hands-on experience in Docker, Kubernetes, Helm, Terraform, and CI/CD automation using GitLab CI/CD and GitHub Actions. Deployed production-grade microservices on AWS, reducing manual deployment effort by 60% and processing wait time by 45%. Experienced in monitoring with Prometheus, Grafana, and CloudWatch, and building secure, scalable cloud infrastructure. Seeking a DevOps internship to drive automation and operational excellence.

Data Science Intern at Digital Nexus AI (2026-01 – Present)

• Built an AI face-clustering pipeline using Insight-Face, DBSCAN, and pg-vector (512-dim embeddings) to automatically group 1,000+ event photos per batch by identity, achieving ~94% clustering accuracy via cosine similarity.
• Containerized and deployed microservices using Docker Compose and GitLab CI/CD, reducing manual deployment effort by ~60% through automated frontend delivery to AWS S3 and backend delivery to EC2.
• Designed an async ML training pipeline using AWS SQS for queue-driven photo processing, enabling real-time progress tracking and email notifications — cutting average processing wait time by 45%.
• Implemented role-based access control (Organizer, Photographer, Attendee) with face-embedding authentication, ensuring privacy-first data isolation at application and database layers across 3 user tiers.

B.E. in Information Technology – A.P. Shah Institute of Technology (2024 – 2027)

Diploma in Information Technology – MAEER's MIT Polytechnic, Pune (2021 – 2024)