Sai Revanth Myneni

About Sai Revanth Myneni

AI/ML Engineer with 9+ years of experience building and deploying scalable, production-grade machine learning systems across cloud environments.I specialize in end-to-end AI solutions — from data pipelines and feature engineering to model development, deployment, and monitoring. My work focuses on solving real-world problems using machine learning, deep learning, and modern AI techniques including LLMs, RAG pipelines, and NLP.In my recent roles, I have:• Built real-time ML systems processing large-scale data with low latency• Developed LLM-powered applications using RAG and vector databases• Designed MLOps pipelines with CI/CD, model versioning, and monitoring• Optimized model performance and infrastructure across AWS, GCP, and AzureI bring strong expertise in Python, SQL, Spark, TensorFlow, PyTorch, Docker, Kubernetes, and cloud platforms, along with hands-on experience building scalable data pipelines and production ML systems.What sets me apart is my ability to bridge data engineering and machine learning — delivering solutions that are accurate, scalable, and production-ready.

Experience

1. Ai Ml Engineer

   Johnson & Johnson

   Mar 2025 — Present · NJ, US

   Built and deployed scalable, low-latency ML systems for large-scale data processingDeveloped LLM-based applications using RAG architectures and vector databasesDesigned and implemented end-to-end MLOps pipelines (CI/CD, model versioning, monitoring)Deployed containerized ML services using Docker and Kubernetes in cloud environmentsImproved model performance through feature engineering and optimization techniquesEstablished monitoring systems for model performance and data drift