Lakshmi Tripura Kanagala

Designed and deployed enterprise AI applications using LLMs with retrieval-augmented generation (RAG) to automate knowledge retrieval and document intelligence for financial services. Built AI assistants for customer support and intelligent search, using embedding-based semantic retrieval and transformer models to improve response quality. Implemented agentic workflows using tool/function orchestration and retrieval pipelines, and delivered production ML pipelines with MLflow and Docker including monitoring and drift detection. Collaborated with engineering, product, and business stakeholders to integrate AI into enterprise systems.

Built end-to-end machine learning solutions in Python for pricing optimization, forecasting, and customer analytics using gradient boosting and deep learning models. Developed NLP applications with transformer-based architectures for intent classification and enterprise chatbot functionality. Implemented semantic search using embeddings and vector similarity, and created scalable AI pipelines using Azure ML, Docker, Jenkins, and MLflow for training, validation, deployment, and monitoring. Integrated AI services into enterprise platforms via REST APIs and cloud-native microservices to reduce manual effort and improve automation.