About

Prasad Adireddi is an experienced IT professional with over 12 years of experience in various technologies and roles, including systems engineering, programming, DevOps, and solution architecture. He specializes in system design, operations, automation, and implementing cloud solutions with highly available clusters for big data applications. He has extensive knowledge in deploying and performance monitoring of cloud infrastructure and microservices, such as Elastic search & Apache Solr, Rabbitmq & Kafka, MongoDB, and OpenStack. Currently, Prasad works as a Cloud Engineering Manager - MLOps at Hewlett Packard, where he leads and delivers ML & Data pipeline frameworks for Ezmeral Unified Analytics platform. In his previous role as a Master Technologist - MLOps at Hewlett Packard, he built distributed applications, ML model & Data pipelines for Ezmeral Unified Analytics Platform. Before that, he worked as a Global Software Architect at San Data Systems, where he developed and containerized various big data & machine learning applications, designed and implemented DevOps/MLOps solutions, and built custom NetworkOps tool in Python using NETCONF RFC capabilities to manage Cisco devices. Prasad has a Master's degree in Computer Science and Information Security from IIIT Hyderabad and a Bachelor's degree in Computer Science and Engineering from Acharya Nagarjuna University. He also holds a certification in Kubernetes Application Developer (CKAD) and is skilled in various technologies, including Senior Software Engineering, ML, DevOps, AWS, infra, Ansible, Big Data, Python, Kubernetes, RabbitMQ, Docker, MongoDB, Elastic Search, Kafka, Microservices, Search, and Azure. Overall, Prasad has 13.52 years of relevant experience and is a highly skilled and experienced IT professional with a strong focus on system design, operations, automation, and implementing cloud solutions for big data applications.