Essential Kubeflow

Prashanth Josyula is a seasoned IT professional based in San Francisco, USA, with over 16 years of industry experience spanning enterprise software engineering, artificial intelligence, and cloud-native infrastructure. He specializes in AI/ML systems, Kubernetes, MLOps, and service mesh technologies, and has consistently contributed to building intelligent, scalable, and resilient platforms that power next-generation applications. In his current role as a Principal Member of Technical Staff (PMTS) at Salesforce, Prashanth is at the forefront of architecting cloud-native solutions that seamlessly integrate AI-driven automation, real-time data processing, and large-scale distributed systems. His work spans across platform services, ML infrastructure, and enterprise-grade deployments, enabling cross-functional teams to build, deploy, and manage intelligent applications with speed and reliability. Prashanth is also an active thought leader and speaker, regularly participating in and presenting at industry-leading conferences. His talks focus on advanced topics such as ML/AI Ops, Retrieval-Augmented Generation (RAG), AI Agents, Responsible AI, and Time-Series Forecasting, where he shares practical insights derived from real-world enterprise experience. With a strong passion for both innovation and knowledge-sharing, Prashanth combines deep technical expertise with a commitment to advancing the field through mentorship, public speaking, authorship, and contributions to research and open-source communities.Sonika Arora is a seasoned software engineer with over a decade of experience building scalable, resilient, and intelligent distributed systems. She currently serves as a Lead Member of Technical Staff at Salesforce, where she architects and delivers complex microservice-based platforms that power machine learning workflows at scale. At Salesforce, Sonika has played a pivotal role in designing orchestration platforms that seamlessly integrate compute services such as training, prediction, and modeling of ML jobs. By leveraging technologies like AWS Lambda, DynamoDB Streams, Kubernetes, and Terraform, she has led initiatives that ensure concurrency, reliability, and observability across distributed architectures. Prior to Salesforce, she made significant contributions at PayPal, where she helped build real-time monitoring systems and QR code payment infrastructure—delivering solutions optimized for scale, fault tolerance, and performance. Sonika's strength lies in fusing backend engineering with system-level thinking to create cloud-native systems enriched with automation, monitoring, and intelligent orchestration. She remains passionate about advancing AI-powered platforms, stream processing, and high-throughput infrastructure.