1. Solving Data Discovery challenges and Done for You experiences within Intuit using contextual, Agentic workflows, MCPs (Model Context Protocol servers),Graph RAG, Semantic, Procedural, Episodic memories, Feedback loops, Eval, using natural language based conversations. Helping establish relationships between entities, to enable better search and help establish the semantic data model. Tech Stack : LangGraph, LangChain, Langfuse, GCP Vertex AI, Neo4j, Gemini/Claude models, Redis, SpringAI, Flink, Kubernetes, Kafka.

2. Design, improve and build the streaming platforms at Intuit. This included the Intuit Kafka based Eventbus and the Stream Processing platform (Kafka/AWS MSK/Spark/Beam/ Flink/ Kubernetes/Vert.x)

3. Design and implementation of first streaming/ transformation/ stateful pipelines at Intuit for clickstream and payroll (Beam/ Flink/ Kubernetes)

Managed Backend Search engine for Rhapsody using ElasticSearch, REST APIs, Scala and Java.

Helped scale and come up with optimal cluster configurations for performant search queries.

Used Spark to create Availability Calculation for Near Realtime Processing of content availability.

Developed metadata and content APIs for Rhapsody.

Working on the internationalization of the back office of Rhapsody.com (acquired Napster )