Harshith Mullapudi

I build production AI, machine-learning, and enterprise software solutions across healthcare, energy, and financial services. At Signify Health, I design and deploy forecasting, risk-detection, classification, NLP, document-intelligence, Generative AI, LLM, and RAG solutions for healthcare and insurance data.

I architect end-to-end ML pipelines spanning ingestion, feature engineering, training, evaluation, deployment, and monitoring using Python, PyTorch, TensorFlow, Scikit-learn, AWS, Spark, Kafka, and microservice APIs. I also establish MLOps and responsible-AI controls through MLflow, Docker, Kubernetes, CI/CD, model validation, explainability, bias checks, and governance.

At Honeywell, I built reusable AutoML and feature-engineering frameworks for forecasting, predictive maintenance, and reservoir-performance modeling. I delivered real-time anomaly-detection pipelines with Kafka Streams and Flink, alongside scalable cloud infrastructure using Docker, Kubernetes, Helm, Terraform, Snowflake, Delta Lake, and Databricks.

Previously, I developed fraud detection, credit scoring, customer segmentation, forecasting, and risk analytics at Bank of India and Societe Generale. I translate business needs into secure, explainable, reliable AI services while partnering with product, engineering, data, risk, and business stakeholders.