Atul Garg

Saratoga, CA, United States of America

Atul Garg

Graduated from:
  • Indian Institute of Technology, Kanpur (India)
  • University of Hawaii, Manoa (USA)
USPTO Granted Patents = 9 

Average Co-Inventor Count = 4.6

ph-index = 7

Forward Citations = 2,300(Granted Patents)


Location History:

  • Santa Clara, CA (US) (1998)
  • Bangalore, CA (US) (2010)
  • Saratoga, CA (US) (2001 - 2011)

Company Filing History:


Years Active: 1998-2011

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9 patents (USPTO):Explore Patents

Atul Garg: The Quiet Architect Behind Cloud Disruption and Predictive Intelligence


Atul Garg doesn’t just build companies; he builds futures. With a calm precision and an engineer’s instinct for pattern recognition, Garg has quietly become one of the most influential figures in cloud computing and AI/ML-driven infrastructure. A serial entrepreneur, executive, and mentor, his fingerprints are on some of the most foundational technologies in modern enterprise IT.


He first made headlines as the founder of ProactiveNet, a predictive analytics firm ahead of its time. Long before "machine learning" was a venture buzzword, Garg used it to anticipate and resolve system failures. BMC Software took notice and acquired the company, catapulting him into the upper ranks of enterprise R&D. What followed were transformative leadership stints at BMC and HP Software and, most recently, as EVP of Engineering and Operations at Infoblox, where he led global teams across engineering, manufacturing, and quality.


Garg’s career is a study in blending technical vision with scalable execution. He holds foundational analytics and behavioral learning patents, but he’s never stopped mentoring. As an advisor to the University of California’s new AI/ML center (UC-CIBDA), he’s shaping how academia partners with industry. As a TiE Silicon Valley Charter Member and co-chair of the Cloud Track at TiEcon, he’s nurtured dozens of startups navigating the volatile terrain of next-gen IT.


Equal parts builder and philosopher, Garg recharges through biking, hiking, and badminton, a rare reminder that even the minds behind AI need to unplug sometimes.

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