DevOps Engineer and AI & ML QA Engineer with 2 years 4 months of experience in AI/ML data workflows at Samsung R&D Institute India. Skilled in containerization, CI/CD automation, AWS cloud infrastructure, MLOps, and ML dataset quality assurance.
Samsung R&D Institute India – SEED Program
November 2023 – March 2026 (2 Years 4 Months) · Bangalore, India
Annotated and labeled large-scale text and image datasets for ML model training and evaluation; performed quality checks and validation to reduce annotation errors; collaborated with AI/ML engineers and data science teams on dataset requirements and model training objectives; gained exposure to data preprocessing, feature extraction, model training workflows, and evaluation metrics; contributed to process documentation and annotation guidelines; led QA processes, trained junior annotators, and maintained project delivery timelines.
B.Tech, Electronics & Communication Engineering
2023
7.91 CGPA; VTU, Belgaum
Containerized ML applications with Docker; deployed ML services on Amazon EKS with services, ingress controllers, and HPA; built CI/CD pipelines using GitHub Actions and Jenkins; provisioned AWS infrastructure with Terraform; exposed ML models through FastAPI REST APIs; monitored applications with CloudWatch; managed model versioning and experiment tracking with MLflow; collaborated with data science teams on model integration and testing.