Sai Mani Kiran Chatrathi

About Sai Mani Kiran Chatrathi

AI/ML Engineer with 4+ years of experience designing, training, and deploying production-ready machine learning models. I specialize in Generative AI, Deep Learning, and MLOps automation, with hands-on expertise in Python, TensorFlow, PyTorch, and feature store management. My work has spanned fraud detection, risk stratification, clinical documentation automation, and secure PHI/PII anonymization, ensuring compliance with HIPAA and GDPR. At Humana and CitiusTech, I deployed scalable AI solutions across Azure, AWS, and GCP, built MLOps pipelines with Docker, Kubernetes, and MLflow, and applied Explainable AI (XAI) and bias mitigation to foster trust and fairness in AI-driven healthcare solutions. I hold a Master’s in Applied Data Science from Syracuse University (2025) and certifications including Azure Data Scientist Associate (DP-100) and MLOps Specialization. I am passionate about building responsible, impactful, and scalable AI systems that drive innovation while ensuring transparency, trust, and compliance.

Experience

1. Ai Ml Engineer

   Humana

   Dec 2024 — Present · US

   Developed models that flag fraud and unusual claims activity, helping investigators focus on the right cases and reducing wasted review time. • Built and managed a large feature store with thousands of variables refreshed daily, so teams across the company could work with consistent, high-quality data. • Set up automated deployment pipelines with Azure DevOps, Docker, and Kubernetes, which made it easier to roll out new models quickly and safely. • Created monitoring dashboards that tracked model accuracy and data drift, ensuring predictions stayed reliable and compliant with healthcare regulations. • Used explainable AI techniques to make complex risk-stratification models easier for clinicians to understand and trust in their decision-making. • Tested models for fairness and bias, applying methods to balance the data so results supported better and more equitable care for different patient groups.

Education

• Indian Institute of Information Technology, Design and Manufacturing, Jabalpur

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

• Syracuse University

  Master of Science - MS, Applied Data Science