Harsha VM

Developed enterprise-scale Generative AI, machine learning, and financial NLP solutions for customer intelligence, graph-enhanced RAG, and multi-agent workflow orchestration. Built cloud-native AI solutions on Azure and implemented MLOps/LLMOps pipelines.

Developed and deployed end-to-end AI-driven solutions for financial analytics and automation. Built RAG and graph-enhanced RAG applications using LangChain, Amazon Bedrock, and vector databases, and implemented scalable data pipelines on AWS.

Developed and deployed production-grade machine learning solutions for healthcare analytics and forecasting. Built end-to-end ML pipelines, implemented CI/CD, and ensured HIPAA-compliant data handling.

Built and maintained production-grade data pipelines processing millions of records daily for churn prediction, fraud detection, and healthcare analytics. Designed and optimized ETL workflows and data ingestion architectures.

Analyzed large-scale user and product datasets to surface actionable insights for business performance. Authored complex SQL queries, designed Tableau dashboards, and conducted A/B tests and cohort analysis.