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AI Infrastructure & Strategic Partnerships | Hyperscaler Ecosystems | Enterprise Platform Growth | Former AWS & Azure
I build and scale AI infrastructure businesses — driving enterprise adoption, strategic partnerships, and multi-million dollar revenue growth across hyperscaler ecosystems. Over 20+ years across AWS, Microsoft, Oracle, and the hyperscaler ecosystem, I've specialized in designing go-to-market operating models that move organizations from relationship-driven deals to programmatic, usage-led growth that scales predictably. My advantage comes from operating inside the machine — understanding hyperscaler infrastructure roadmaps, procurement cycles, and the critical path to large-scale adoption in AI accelerators, GPUs, and high-performance computing. WHAT I'VE BUILT - Founding member of Oracle's inside sales organization, scaling from 20 to 500+ globally — building leadership teams, hiring systems, and frameworks that enabled 25× growth - Drove 700% revenue growth at AWS by building a partner-led cloud migration ecosystem — shifting execution from relationship-driven selling to repeatable adoption loops - Pioneered a $10M+ Data Science & Machine Learning business for Microsoft Azure from zero - Designed partner-led GTM systems that transformed individual selling into scalable execution engines HOW I THINK I build operating systems - cadence, metrics, decision frameworks, and feedback loops that connect strategy → product → partners → customers → revenue. I focus on tight integration, real-world constraints, and designing systems that others can run independently. This is empirical strategy: rapid experimentation, pattern recognition, and frameworks that compound over time. HOW I LEAD I lead through influence, enablement, and system design. I multiply impact by building frameworks that enable teams to execute independently, designing organizational structures and enablement programs, mentoring leaders on strategic GTM execution, and orchestrating
The Wharton School
Executive Program in Venture Capital, Venture Capital
January 1, 2018 – January 1, 2018
Stanford University
Executive Program, The Future of Technology: Cloud Computing & Green Technology Alternatives
January 1, 2009 – January 1, 2009
FORE School of Management, New Delhi
Masters, Business Management, Operations Research
January 1, 2001 – January 1, 2003
Board of Technical Education, Delhi
Mechanical Engineering, Operations Management and Statistical Modeling
January 1, 1995 – January 1, 1998
General Assembly
Certificate program on Raising Capital, Entrepreneurship/Entrepreneurial Studies
N/A – Present
Hewlett Packard Enterprise
AI Infrastructure & Ecosystem GTM Leader
December 1, 2024 – Present
New York, United States
Amazon Web Services
Director - Business Development
December 1, 2018 – December 1, 2024
Greater New York City Area
Microsoft
Business Development - Data Science & Artificial Intelligence
January 1, 2014 – December 1, 2018
Greater New York City Area
NGDATA US
Vice President - Sales
March 1, 2013 – January 1, 2014
Greater New York City Ι San Francisco Bay Area
Oracle Corporation
Regional Director - Sales
March 1, 2009 – March 1, 2013
Greater New York City I San Francisco
Teradata
Regional Sales Director - Financial Services
May 1, 2008 – March 1, 2009
New Delhi Area, India
Oracle Corporation
General Manager - Business Development - Oracle Analytics & Database Infrastructure
September 1, 2005 – May 1, 2008
Multiple Positions
Start-up Incubation - Business Development – Account Management
August 1, 1998 – September 1, 2005
Technova India, Wachovia India, Ganesh Auto India, BPL Display Devices India
AI Elite Sales
NVIDIA
June 24, 2026 – Present
AI Advisor
NVIDIA
June 24, 2026 – Present
Exam 534: Architecting Microsoft Azure Solutions
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long and consistent career path in large enterprise tech companies (Oracle, Teradata, Microsoft, AWS, HPE), indicating a strong fit for structured, goal-oriented environments. Their focus on building and scaling programs aligns with growth-oriented cultures. However, the target role of 'Big Data Engineer' is a significant shift from their predominantly business development and sales leadership background, which may present a cultural mismatch in terms of day-to-day responsibilities and technical depth required.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and entrepreneurial drive, evidenced by their roles in building programs from scratch and scaling initiatives. Their experience in cross-functional collaboration and mentoring suggests good operational fit for driving complex projects. However, the resume primarily highlights business development and sales leadership, not hands-on technical or operational roles directly aligned with a Big Data Engineer position.