Jayaram Immaneni

Jayaram Immaneni is an accomplished ML Operations Engineer and SRE Lead with extensive experience in designing and implementing large-scale, cloud-native solutions to optimize machine learning workflows and enhance infrastructure performance. Renowned for his expertise in Kubernetes, Jayaram excels in automating deployment, scaling, and management of containerized applications, ensuring high availability, resilience, and efficiency across diverse environments.

Certified in AWS DevOps, Kubernetes (Administrator and Developer), Terraform, and Apache Airflow, Jayaram has a proven ability to lead cross-functional teams in developing automated and cost-effective infrastructure solutions. His proficiency in CI/CD pipelines using Jenkins and GitLab CI/CD, coupled with creating Helm charts, ensures reproducible and streamlined deployments in containerized ecosystems.

Throughout his career, Jayaram has successfully led data center migrations, including critical transitions to Kubernetes and KVM on vSphere, resulting in significant cost savings through optimized resource allocation and sustainability efforts. In the ML Ops domain, he has driven the full lifecycle of machine learning operations—from data ingestion to deployment—leveraging frameworks like TensorFlow and PyTorch and employing Apache Airflow to automate ETL workflows for data reliability and real-time insights.

Beyond his technical expertise, Jayaram is deeply committed to mentoring and community engagement, empowering individuals in underserved regions through skill development. His multidisciplinary background, spanning biotech to IT, positions him as a dynamic problem solver, particularly in data and fintech sectors. Dedicated to ethical AI, continuous learning, and delivering sustainable, impactful solutions, Jayaram continues to make meaningful contributions to organizations and communities alike.