Kushaagra Goyal is an accomplished technology leader with deep expertise in engineering and AI infrastructure. He holds a Bachelor’s degree from the Indian Institute of Technology, Delhi (2016), and a Master’s degree from Stanford University, where he developed a strong foundation in industry best practices and innovative technology solutions.

Kushaagra began his career as a Software Engineer at Rubrik, contributing to patent-recognized projects in the USA. He later joined Databricks Inc., where he advanced compute infrastructure for Managed Spark Clusters, delivering scalable, high-performance solutions for big data applications.
Post that, as Chief Technology Officer at Gan.ai, a pioneering GenAI startup, Kushaagra spearheaded the development of foundational text-to-speech models for Indic languages. He architected the company’s AI-driven backend infrastructure and led a team of 20 engineers, fostering a culture of innovation and technical excellence. His strategic leadership accelerated product development and positioned Gan.ai at the forefront of generative AI advancements.

Currently, he leads the development of storage and compute platforms at Rubrik, focusing on large-scale data and AI applications. His work is instrumental in building resilient, high-performance systems that drive enterprise innovation.

Kushaagra is passionate about computational infrastructure for AI and combines deep technical expertise with strategic insight. He actively shares knowledge on AI model hosting advancements and is dedicated to exploring new frontiers in scalable, impactful AI technologies.

Patents:
1. https://patents.google.com/patent/US20210279108A1/
2. https://patents.google.com/patent/US11126508B2/en

Google Scholar:
https://scholar.google.com/citations?user=vQKDnM0AAAAJ&hl=en

LinkedIn:
https://www.linkedin.com/in/kushaagra-goyal/

Email:
kushaagra@alumni.stanford.edu / kushaagragoyal7@gmail.com