Sainath Cherukupalli

AI/ML Engineer | MLOps & Cloud Architecture (AWS/Azure) | Healthcare & Fintech I specialize in building scalable, production-ready machine learning pipelines that bridge the gap between data science and enterprise-grade software. With over 4 years of experience, I’ve focused on automating the ML lifecycle reducing deployment times by 35% and improving data throughput by 40% in highly regulated sectors like healthcare and finance. What I bring to the table: End-to-End MLOps: Building CI/CD frameworks with SageMaker and Lambda to lower model drift and strengthen governance.Data Engineering at Scale: Optimizing distributed processing (PySpark, Kafka, AWS Glue) to boost pipeline efficiency.Security & Compliance: Architecting secure data access using IAM and encryption (KMS, Key Vault) for sensitive environments.Business Impact: Translating complex models into containerized microservices that drive real-world adoption. I am passionate about accelerating innovation through AI-assisted development while maintaining the highest standards of security and reliability.