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GTM Executive | Board Advisor | Ex-Google Data & AI Product Leader | AutoML Category Creator | AI Accelerator & Datacenter Builder
Global technology executive with 25+ years of leadership across AI, Cloud, Datacenter, Electronic Devices - delivering transformation at Fortune 500 companies and high-growth startups. Started my career as a Forward Deployed Engineer in Semiconductor industry and pivoted to the business side in Software space. I enjoy building new categories, scaling global GTM strategies, and winning customer partnerships to drive revenue impact. At Applied Intuition, I repositioned the company as a category leader in Physical AI to secure large OEM deals with Porsche, Audi, Isuzu, and TRATON, scaling revenue 2X YoY, and growing valuation from $3B to $15B. As CMO of Yellow.ai, I transformed the GTM engine grounds up to enter the North America market delivering 10X growth and launched EnterpriseGPT (integrated with GPT-4 & LLaMa2) while elevating the brand to Gartner MQ Challenger. At Google Cloud, I owned a $1.2B AI & Data portfolio, launched category-defining products like AutoML, BigQuery ML, and Contact Center AI, and accelerated pipeline $MM/month. Earlier at Intel, I built the company’s first AI accelerator appliance; launched Windows 10 globally alongside 5 OEMs, driving adoption across 400M+ devices in just two years — the fastest OS rollout in the history. Recognized for visionary storytelling, ecosystem impact, and operational excellence, I build high-performing global teams, shape new markets, and deliver results that redefine industries. Specialties: Semiconductor and Devices | Data and AI | Cloud AI | NLP | OEM Partner Ecosystems | GTM Strategy | Category Creation | Enterprise Growth Hands-on experience in: Tensorflow, Responsible AI, Datacenter Infrastructure, ML Accelerators, Cloud Security, CASB, Data Warehousing, Data Lake, ETL, Predictive Analytics, MLOps, Conversational AI, Streaming Analytics, Data flow, Data Pipeline, Data Analytics - Looker, Document AI,
University of California, Berkeley, Haas School of Business
Masters of Business Administration, General Management
N/A – Present
Stanford University
Machine Learning, Artificial Intelligence
N/A – Present
Delhi College of Engineering
Bachelor of Engineering, Electrical Engineering
N/A – Present
NeoCognition
Operator
April 1, 2026 – Present
Applied Intuition
CMO
January 1, 2023 – January 1, 2025
Mountain View, California, United States · On-site
Magdalena Capital
Founder
January 1, 2022 – Present
United States
Yellow.ai
SVP Product & CMO
January 1, 2022 – August 1, 2023
San Francisco Bay Area
Global Head of Product Marketing - Data & Cloud AI (BigQuery, Looker, TPU, CCAI, DocAI, MLops)
January 1, 2017 – January 1, 2022
San Francisco Bay Area
Intel Corporation
Director, Product Management - AI Appliance for ML training
January 1, 2015 – January 1, 2017
San Francisco Bay Area
Intel Corporation
Head of Americas Channel Partners (Sales Team)
January 1, 2014 – January 1, 2015
San Francisco Bay Area
McAfee
Sr Corporate Strategy Manager - Office of the President
January 1, 2013 – January 1, 2014
San Francisco Bay Area
Synopsys Inc
Senior Product Marketing Manager
December 1, 2010 – January 1, 2013
Mountain View, California, United States
Mentor Graphics
Technical Product Manager
December 1, 2007 – December 1, 2010
San Francisco Bay Area
Pyxis Technology Inc
Senior Field Application Engineer
August 1, 2005 – December 1, 2007
Austin, Texas Area
Magma Design Automation
Field Applications Engineer
July 1, 2004 – July 1, 2005
Crayonix Communication Pvt Ltd
Co-Founder
May 1, 1999 – February 1, 2003
Business Plan Proposal based on CLTV for Hortonworks
January 1, 2012 – Present
Haas School of Business, UC Berkeley
Cultural Fit Analysis
The candidate's diverse experience across large corporations (Google, Intel, McAfee) and startups (Yellow.ai, Magdalena Capital, Pyxis Technology, Crayonix) suggests adaptability to various organizational cultures. Their entrepreneurial background and involvement in AI projects indicate a proactive and innovative mindset. However, the target role is 'Cybersecurity', and while there is one relevant experience at McAfee, the overwhelming majority of their career has been focused on AI, ML, Product Marketing, and GTM. This significant pivot to a purely technical cybersecurity role might present a cultural and technical gap, as their recent roles are heavily business-oriented rather than deep technical cybersecurity engineering or architecture.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and cross-functional collaboration skills through their extensive experience in senior management roles. Their ability to build and lead teams, drive product evangelism, and manage complex GTM initiatives indicates a high operational fit for strategic roles. The descriptions highlight a results-oriented approach and adaptability in fast-paced environments.