Senior AI/ML Engineer with over six years of expertise designing and operationalizing scalable MLOps solutions in cloud native environments. Proven ability to architect end to end data pipelines and machine learning workflows leveraging AWS Lambda, SageMaker, and Snowflake Streams & Tasks to accelerate model delivery, halve retraining cycles, and reduce operational costs by up to 75%. Skilled at optimizing inference performance at scale through Kubernetes and Seldon Core enhancements, and at integrating generative AI prototypes that drive 40–75% automation gains. Adept at implementing enterprise-grade CI/CD, data governance (RBAC, dynamic masking), and drift detection frameworks to ensure system reliability, security, and compliance. Collaborative leader who mentors cross-functional teams, authors technical best practices, and delivers high impact AI solutions that translate into measurable business value.