Instructor

Vishnu Priya is an experienced MLOps, Machine Learning Engineering, and AI Infrastructure professional and trainer with 10+ years of industry experience in Machine Learning, MLOps, Python, ML pipelines, model deployment, cloud infrastructure, and production AI systems. She brings practical industry expertise in building, deploying, monitoring, scaling, and managing production-ready ML and AI workloads.

She has hands-on expertise across MLflow, Git, DVC, Airflow, CI/CD/CT, FastAPI, Docker, Kubernetes, model serving, LLMOps, RAG, vector databases, AI observability, Prometheus, Grafana, cloud AI platforms, GPU infrastructure, security, and AI governance. Her training approach focuses on connecting ML development with production engineering, covering key areas such as reproducibility, automation, scalability, reliability, monitoring, security, cost optimization, and troubleshooting.

With 10+ years of professional experience and training experience with 200+ students, Vishnu Priya delivers practical, hands-on sessions using real-world projects, production scenarios, and industry practices. Her learner-focused approach helps professionals develop industry-ready skills for careers in MLOps, LLMOps, ML Engineering, AI Infrastructure, and Production AI Engineering.