Sreekanth Kocharlakota

Director, Devops Sre @Sleep Number Corporation

San Jose, CA, US

Led the enterprise integration and production scaling of acquired AI technology focused on sleep and breathing sound analysis, transforming research-grade systems into secure, cloud-native, production platforms.Owned end-to-end infrastructure and production readiness for integrating advanced acoustic ML and signal-processing systems into the core platform.Served as the technical integrator across Infrastructure, ML Engineering, Product, Security, Build & Release, and Production Engineering, aligning teams from prototype to launch.Designed and scaled cloud-native infrastructure supporting large-scale audio ingestion, MLtraining, and real-time inference.Partnered with ML Engineering to productionize breathing pattern detection and anomalymodels, supporting the full ML lifecycle from data pipelines to monitored deployment.Established CI/CD, observability, and operational standards to enable safe, repeatablereleases of ML and data-driven services.Embedded security, privacy, and compliance controls into data and ML platforms inpartnership with Security Engineering.Enabled product teams to deliver customer-facing AI capabilities by defining stableplatform APIs and deployment patterns.Mentored senior engineers and influenced platform strategy, positioning infrastructure as Impact:Delivered a scalable AI platform enabling rapid production of sleep and breathing insights for millions of users. Supported accurate anomaly detection and personalized recommendations, improving sleep quality, engagement, and customer satisfaction, while reducing production risk and accelerating deployment of ML-driven features.

Jawaharlal Nehru Technological University

Bachelor of Technology (B.Tech.), Electronics and Communications