I design, architect, and ship production systems across every pattern of the Human Intelligence Partnership Charter: the Foundation pattern, where AI is my daily build partner. The Tooling pattern, where the products I ship use AI to build but work without any AI dependency. The Pipeline pattern, where AI enriches data behind the scenes and users never see it. And the Integration pattern, where AI works alongside proprietary APIs and live data at runtime. These are not wrappers. They are architectures designed for two intelligences working together.
The building taught me something. The first product took nine months. The most recent took a day. The tools did not change. The understanding did. And the hardest problem in AI is not what the machine can produce. It is the structural gap between what the human means and what the machine does. I call it the Intent Layer. That insight became the HIP Charter, AI Trust Commons, and the From Instinct to Intent series.
25 years at Microsoft, T-Mobile, AT&T, Expedia Group, and Hitachi Consulting watching the distance grow between what leaders intended and what systems actually delivered. The governance layer between intent and execution was always the hardest part to get right. The same pattern is playing out in AI.
Four partnership patterns for human-AI systems. Fifteen positions on the map. Drop "artificial." Start building with intelligence. The charter emerged from a year of building, not from a whiteboard. Every product in the portfolio maps to one or more patterns. The overlaps create depth. The center, where all four patterns converge, is where full partnership lives.
A five-part series examining the structural gap between human intent and machine execution. USPTO trademark filed (Serial 99690685). Book in progress.
The manifesto. The gap exists. We are all operating on instinct right now, and clarity will only come if we build the tools for the journey.
Instance One. Programming languages were designed for human eyes. Now AI writes the code and humans spend 91% more time reviewing it. The first concrete evidence of the Intent Layer gap.
$5 billion raised in 90 days on which AI engine to build. LeCun, Altman, Sutskever each betting on a different architecture. Nobody building the interface between human intent and machine execution. The gap is architecture-agnostic.
The HIP Charter article. The word "artificial" gives you permission to skip the communication infrastructure you would never skip with a human colleague. Four patterns of partnership. The Intent Layer visible at every pattern.
The personal thesis. Two unplanned apologies surfaced during the book writing because the AI created a space without judgment. The insight: the value is not capability. It is safety. The absence of judgment creates the space for insight to surface.
~5,000 word submission to the NIST Center for AI Standards and Innovation. Deployer perspective across 8 organizations, 7 industries. The core argument: governance cannot keep pace with what agents can do, and the gap is worst at the boundaries between providers.
~5,900 word response to the National Cybersecurity Center of Excellence concept paper on AI agent identity and authorization. Proposes intent conveyance as the missing layer, with case studies from Spotify, Amazon/AWS, and Meta.
Open-source governance for AI agents in the enterprise. The organizational home for the article series, the HIP Charter, and the NIST submissions.
A personal command center that treats your whole life as one life. Voice capture with NL parsing, calendar sync (EventKit, ICS, OAuth), family circles, goal tracking. FastAPI + SwiftUI iOS + sync engine. Full stack shipped in a day, after a year of learning across every other product.
The center of the bloom.
A suite of five extensions for the complete AI interaction lifecycle. Composer formats input. Annotator curates output. Copier captures conversations across 7 platforms. Connect coordinates parallel AI chats. Platform compares responses across Claude, GPT, Gemini, and Grok side by side.
AI-powered trading analysis. 1,882 commits over 10 months, the origin project where the AI partnership started. 20+ real-time data APIs, confidence scores, transparent reasoning. V2.0 web + iOS shipped.
Tour discovery across 136K+ experiences in 3,380 destinations. Express 5 + TypeScript backend, Next.js web, SwiftUI iOS with MapKit globe.
Bhagavad Gita reader. 701 verses, 17 scholars, Sanskrit audio. iOS + Android.
News aggregator. 41 sources, 13 categories, no ads. iOS + Android + Web + API.
M365 test account management. Azure Trusted Signing. macOS + Windows. MIT license.
The system I built for myself, then for my family. Each person's system looks completely different because each person's life is different. But the core is the same: one place, one partner, your whole life, nothing falls through.
Technology consulting. CTO advisory, AI strategy, platform architecture, governance. Current engagements in enterprise AI transformation and product development.
A memoir about discovering human purpose through AI partnership. Not a how-to guide. Not a technology book. The story of what happens when the ground shifts at AI speed and you follow the thread until clarity arrives. HOPE + INSTINCT sections complete (~35,000 words, ~140 pages). INTENT section in progress.
25 years of engineering leadership. CTO and VP Engineering roles across Expedia ($45M savings), Imperative ($1M to $4M ARR as CTO & Head of Product), The Tour Guy (400% operational efficiency), T-Mobile, Microsoft, AT&T, Hitachi Consulting (200+ engineers led). Compliance deployed across telecom, travel, fintech, healthcare, education, green energy, and IoT. 114 LinkedIn recommendations.
Shivam's leukemia journey. A father's documentation of his son's fight and recovery.
Interview preparation resource built during the Microsoft years.
Video tribute.