Machine Learning Tech Lead with 9 years of experience delivering production-ready solutions, scalable ML pipelines, and automation frameworks across healthcare, insurance, and robotics. Skilled in developing and deploying deep learning and NLP models, modernizing applications into cloud-native microservices, and orchestrating ML workflows with Kubernetes. Expertise in MLOps practices for reproducibility, monitoring, and continuous retraining, with experience in multi-cloud deployments (AWS, GCP, Azure). Experienced in benchmarking CPU performance, optimizing pipelines, and managing large-scale infrastructures with IaC and cost-efficient scaling. Recognized for combining applied ML research with DevOps engineering and leading small teams to deliver reliable, high-performance systems at scale.