I'm currently a Senior Software Engineer at Google.
In the Applied AI team, we are building Conversational AI products leveraging state of the art Large Language Models for Agentic Commerce.
Before that, I have led the launch of various features to help summarize conversations and to help search from knowledge bases. I have also helped improve the software architecture to simplify systems and increase development velocity.
At Oracle, I led the development of end-to-end Machine Learning workflows within AI Apps as well as their deployment on Kubernetes. I helped improve the performance of product recommendation models.
I also contribute to the Machine Learning platform, simplifying how Machine Learning models are trained and served.
I've previously led design, development and deployment of a system for creating and serving knowledge graph of entities extracted from the source code to enhance code discovery.
At eBay Inc I contributed to Apache Kylin, an open source Distributed Analytics Engine from eBay Inc, re-routing the queries not supported by Apache Kylin to Hive on Spark.
This gave me exposure to some of the most important technologies & services in distributed systems like Hadoop, Spark, HBase, Hive, Kylin, Ambari, HDP, Zookeeper, Tomcat, etc.
This is also where I met one of my best friends, Docker, who was a 6 month old kid back then. :)
At connecto.io, I developed a scalable web crawler using MEAN stack to find add-ons used by millions of websites.
We also predicted engagement scores for websites by analyzing features like visibility of call to action, contrast ratios and link densities using OpenCV library in Python.
This gave me exposure to the power of MEAN stack and also to an interesting domain of image processing.