● Built agentic GenAI systems capable of autonomous goal planning, stepwise execution, and self-correction loops using LLMs, LangChain, and LangGraph.

● Integrated agent capabilities into enterprise platforms using Java, Spring Boot, REST/GraphQL, and autonomous workflow orchestration layers.

● Developed user-facing AI experiences with React /TypeScript, enabling conversational UIs, agent dashboards, and real-time task monitoring.

Built GenAI applications and autonomous reasoning systems using LLMs, LangChain, and custom tool-calling frameworks integrated with Java Spring Boot microservices.

Developed RAG pipelines with Chroma and HuggingFace embeddings, optimized prompts, and connected enterprise data via Kafka, RabbitMQ, and REST/GraphQL APIs.

Deployed and maintained LLM-based applications on Azure (OpenAI, AKS, Cognitive Search) with CI/CD, MLOps, and monitoring to ensure scalable, reliable performance.

Built and deployed machine learning workflows and backend microservices using Java Spring Boot, Python, and REST/gRPC APIs for scalable, real-time inference.

Implemented end-to-end ML pipelines with TensorFlow, PyTorch, and scikit-learn, integrating feature engineering, model training, and MLOps automation using MLflow and Kubeflow.

Optimized model performance and lifecycle management through CI/CD, containerized deployments (Docker, Kubernetes), and monitoring for drift, latency, and reliability.