Chandana R

Architected and deployed cloud-native AI/ML applications using Docker, Kubernetes, and Helm, enabling scalable rollouts across development and production environments. Engineered enterprise Generative AI workflows that integrated LLM-powered reasoning with organizational knowledge repositories to improve contextual retrieval and information discovery. Established end-to-end MLOps practices using MLflow, Prometheus, and CI/CD pipelines for experiment tracking, model versioning, deployment automation, and production monitoring.

Intern - Sigmoid - On-site

(2025-11 - 2026-06)

• Architected and deployed cloud-native AI/ML applications using Docker, Kubernetes, and Helm, enabling scalable rollouts across development and production environments.
• Engineered enterprise Generative AI workflows that integrated LLM-powered reasoning with organizational knowledge repositories to improve contextual retrieval and information discovery.
• Established end-to-end MLOps practices using MLflow, Prometheus, and CI/CD pipelines for experiment tracking, model versioning, deployment automation, and production monitoring.
• Automated Azure infrastructure provisioning through Terraform-based Infrastructure as Code, reducing manual environment setup and standardizing cloud resource management.
• Developed high-performance backend services in FastAPI to support AI inference pipelines, multi-agent coordination, and enterprise platform integrations.

Bachelor of Engineering - Information Science & Engineering - Sri Siddhartha Institute of Technology (2021 - 2025)