Yaswant Ravi

I am an AI/ML engineer with 4+ years of experience building production-grade solutions in healthcare and finance, focusing on real-time inference, model lifecycle automation, and regulatory compliance.

I have engineered surgical video analytics with PyTorch achieving sub-200ms latency across operating rooms and deployed conversational AI using Hugging Face to improve context accuracy by 29% across 1.3M patient interactions.

I automated ML lifecycle processes with MLflow, reducing deployment cycles from 10 days to 3 days, and deployed scalable inference pipelines on AWS to process millions of transactions daily while improving throughput by 27%.

I deliver explainable, compliant AI—using SHAP, feature engineering, and reinforcement learning for adaptive care plans—and collaborate cross-functionally with clinicians, data scientists, and regulatory teams to ensure trustworthy production deployments.