I serve as the architect of Cloudera SQL AI Assistant, a tool designed to harness the capabilities of Large Language Models (LLMs) for a range of SQL tasks. This assistant facilitates the creation, editing, optimization, fixing, and concise summarization of queries using natural language, ultimately enhancing the speed, simplicity, and accuracy of SQL development.

I am leading the development of the Hue Query Processor service, which entails indexing and retrieving Hive query events and Impala query profiles. It provides an intuitive interface to drill down and debug queries.

Another notable achievement includes the development of a wrapper technology allowing the creation of web components from Vue 3 components, a feat not officially supported by Vue 3. Furthermore, I spearheaded the design and development of the Hue ER Diagram.

After the merger of Hortonworks and Cloudera, I had been predominantly working on Data Analytics Studio (DAS).

DAS offers a web interface for executing, monitoring and optimizing Apache Hive queries. Collaborating with Product Managers (PMs), UX designers, and Quality Assurance (QAs), I am dedicated to enhancing the overall Hive experience for our end users. Our team, under my leadership, has developed key components including the search subsystem, recommendation engine, and Hive explain-plan parser modules, contributing to a more robust system

Apache Tez PMC, Apache Hadoop branch committer, and contributor to 5 other projects in the Hadoop ecosystem.