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0->1 Agentic AI | 3x Head of Product | ex-CPO | 17 yrs in applied AI/ML for regulated industries
My superpower is building 0-1 Data & AI platforms and vertical AI apps at insane speed. I don't just dream, I execute. I am a full time builder + PM. And I have failed, a lot. Since 2010, I have built & scaled data & AI platforms for enterprises, defense and carriers, generating 300M+ revenue. My experience influencing CIO/CISO/CDO on Data & AI strategy spans over 15 years across multiple industries in NORAM, LATAM, APAC, MEA. ✔️ I am currently building the first Structured Finance AI Analyst powered by Prophecy and Claude Code ✔️ I built Canopus SEER, a real time observability platform powered by Agentic AI and eBPF ✔️ I founded FlowPulse.AI, Agentic AI for cloud runtime security ✔️ I created the first interactive ML/AI threat hunting platform in 2017 for MSSPs at Thales ✔️ I built as founding engineer the first big data ML platform for CSPs in 2010 at Guavus. 100's of developers built ML apps on it ✔️ I created a no-code AI App Fabric in 2019 for business-users to ideate AI apps in days instead of months I have also built (as the founding engineer): - a fully-managed Linux OS - carrier-grade Hadoop & Spark - Distributed Data warehouse (10 B+/day) - distributed Real-time Ingestion tool (3M+ events/sec) I have spent significant part of my career in high growth early stage startups, and I thrive in extreme ambiguity. my super power is influencing internal stakeholders and customers equally, leading from within. I am equally comfortable designing strategy with C-level executives, grooming a backlog with engineers, and discovering customer pain points through deep interactions. I have led global teams of product managers, data scientists & engineers responsible for productization of AI/ML products and big data platforms. In a previous life (2000-2010), I was a linux/C/VoIP geek hacking the linux kernel, writing high performance networkin
Delhi University
B.S. (Bach. of Information Science), Computer Science
January 1, 2000 – January 1, 2004
Prophecy
AI Product Management
October 1, 2025 – Present
San Francisco Bay Area
Canopus
Chief Product Officer
January 1, 2024 – September 1, 2025
San Francisco Bay Area · On-site
LigaData
Head of Product Management
January 1, 2023 – January 1, 2024
San Francisco Bay Area · On-site
Thales
Head of Product Management
October 1, 2021 – November 1, 2022
San Francisco Bay Area
Thales
Director of Product Management (AI/ML Platform & Cybersecurity)
February 1, 2017 – November 1, 2022
San Francisco Bay Area
Guavus
Product Architect, CTO Office
December 1, 2015 – January 1, 2017
Guavus
Senior Product Manager (Big Data & AI / ML Platform)
March 1, 2015 – June 1, 2017
Guavus
Engineering Manager (Founding Engineer of Big Data Platform)
April 1, 2010 – March 1, 2015
GlobalLogic
Lead, Product Engineering
March 1, 2005 – March 1, 2010
Noida, Uttar Pradesh, India
Dutta Consultants
Network Specialist
January 1, 2001 – February 1, 2005
Delhi, India
Pragmatic Marketing Certified - Level Five (PMC-V)
Pragmatic Marketing/Institute
June 24, 2026 – Present
Pragmatic Certified Product Marketer
Pragmatic Institute
June 24, 2026 – Present
Defense And Offense: Understanding Attackers Through Red Team Tactics [Hacking]
BlackHat
June 24, 2026 – Present
Value Based Pricing Expert
Thales
June 24, 2026 – Present
Abusing and Protecting Kubernetes, Linux, and Containers
BlackHat
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong entrepreneurial spirit, having run their own business and joined early-stage companies. Their diverse experience across product management, engineering leadership, and strategic roles, particularly in AI/ML and Big Data, suggests adaptability and a broad skill set. While the recent roles are heavily product-focused, the underlying technical foundation and continuous engagement with complex data systems indicate a potential fit for a Big Data Engineer role, especially one that values strategic input and cross-functional collaboration. However, the shift from hands-on engineering to product leadership might require re-evaluation of current coding proficiency for a pure engineering role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and cross-functional team management skills. Their experience in product conceptualization, GTM strategy, and customer engagement suggests a proactive and results-oriented approach. The ability to build and lead teams, coupled with a history of driving strategic initiatives, indicates a high operational fit for senior roles requiring both technical depth and business acumen.