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CEO, NTT DATA AIVista | Built Billion-Dollar Businesses at AWS (0→Multi-Billion ARR in 6 yrs; SageMaker, Bedrock, Q) | Ex-NVIDIA VP | 3× HBS Case Studies
I build and scale billion-dollar businesses, leveraging AI to transform how enterprises operate. As CEO of NTT DATA AIVista, I am focused on creating the next generation of enterprise AI—bringing AI-native capabilities to organizations operating in complex, regulated environments. In partnership with NTT DATA globally, we are scaling AI from experimentation to mission-critical, revenue-generating impact. Previously, as VP & GM at Amazon Web Services, I built and scaled one of its fastest-growing businesses from zero to multi-billion-dollar ARR in six years and helped establish its multi-billion-dollar generative AI portfolio, including Amazon SageMaker, Amazon Bedrock, and Amazon Q, along with applied AI solutions across industries. This work has been featured in multiple Harvard Business School case studies on building and scaling AI businesses. As Chief Product & Technology Officer at DigitalOcean, I led product and technology strategy across cloud infrastructure and platforms—improving product velocity 4x, significantly enhancing quality, contributing to ~400 bps of revenue growth acceleration, and ~30% increase in market capitalization. Earlier, as VP at NVIDIA, I led software across AI, Automotive, GPU, and Mobile, including functional safety for autonomous systems—supporting the commercialization of next-generation intelligent technologies. Across roles, my focus has been consistent: translating frontier technologies into durable, high-growth businesses with strong unit economics, global reach, and measurable customer impact. CES Innovation Award–recognized contributions. Recipient of the Distinguished Alumnus Award, Indian Institute of Technology. 100+ patents (70+ issued) and 30+ publications. Harvard Business School | Yale University | Indian Institute of Technology Focused on building enduring businesses with global scale, strong unit economic
Harvard Business School
General Management Program
N/A – Present
Indian Institute of Technology, Kharagpur
BTech, Computer Science and Engg
N/A – Present
Yale University
MS, PhD, Computer Science
N/A – Present
NTT DATA AIVista
Chief Executive Officer
December 1, 2025 – Present
San Francisco Bay Area
Forbes Technology Council
Official Member
October 1, 2024 – December 1, 2025
DigitalOcean
Chief Product and Technology Officer (Section 16 Officer)
January 1, 2024 – January 1, 2025
San Francisco Bay Area
Amazon
Vice President and General Manager, AI & Machine Learning & Data Infrastructure, Amazon
January 1, 2018 – January 1, 2024
San Francisco Bay Area
NVIDIA
Vice President
January 1, 2016 – January 1, 2018
Santa Clara
Intel Corporation
Senior Director, SW Development
January 1, 2014 – January 1, 2016
Intel Corporation
Director, SW Development, Mobile and Communications Group
January 1, 2011 – January 1, 2014
Intel Corporation
Engineering Manager & Principal Engineer, Devices SW Development
January 1, 2008 – January 1, 2011
Intel Corporation
Senior Staff Engineer
January 1, 2005 – January 1, 2008
Intel Corporation
Staff Engineer
January 1, 2003 – January 1, 2005
Intel Corporation
Senior Researcher
January 1, 2002 – January 1, 2003
Honored Listee
Marquis Who's Who
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards leadership and strategic roles in large, impactful technology companies. The transition from deep technical roles at Intel to executive leadership at NVIDIA, Amazon, and DigitalOcean, and now CEO at NTT DATA AIVista, indicates a drive for significant responsibility and business impact. While the target role is 'Backend Engineer', the candidate's recent experience is heavily skewed towards executive management and strategic product development rather than hands-on backend engineering. This might indicate a potential mismatch with a purely individual contributor or team lead backend engineering role, but could be a strong fit for a principal or distinguished engineer role with significant architectural and strategic influence. The breadth of experience across different technology domains (AI, ML, cloud, embedded systems, low-level architecture) demonstrates adaptability and a broad understanding of the tech landscape.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, strategic thinking, and the ability to drive large-scale initiatives. Experience in scaling global platforms and managing diverse engineering teams suggests excellent operational fit for senior roles. The descriptions imply strong communication skills through strategic partnerships and executive interactions. However, direct evidence of collaboration style or stress handling from assessment data is not available.