AI Product Architect. Associate Vice President — Product, AI & Innovation at Ting Works, building Tingdom and Project ATOM — the internal platform and intelligence layer behind how the company runs. Multi-time founder, researcher, and author of The Most Human In The Room.
13+ years turning ML demos into systems people actually trust.
I turn strong ideas into working products that people can trust in real life. Over the years, I have learned that good AI is not only model quality. It is product judgment, system design, and operational discipline. I build intelligence layers that stay reliable under pressure, stay useful for teams, and stay understandable for users. I lead teams, publish research, and ship outcomes with the same intent. Make complex systems feel dependable, clear, and human.
Government of Kerala AI Readiness Program. Guiding public-sector teams and student cohorts on responsible AI adoption.
Contribution to Impact
Startup Mentor
Kerala Startup Mission — onboarded Jun 2026 to mentor aspiring entrepreneurs.
Contribution to Impact
ACL TrustNLP Reviewer
Program Committee for ACL TrustNLP 2026. Peer-reviewing research on hallucination, authorization, and trustworthy NLP.
Currently Building
Project ATOM
Intelligence on Tingdom · v2.4 · Production
Tingdom runs the company; ATOM is the layer on top. Ingestion, retrieval, inference, and authorization in one pipeline — live traffic, observed end to end.
▸ AVP at Ting Works from 4 Jun 2026; was Sr. Product Manager — AI & Innovation since Apr 2025▸ Building Tingdom — Ting Works' internal operating platform▸ Architecting Project ATOM on Tingdom Gateway▸ Startup Mentor at Kerala Startup Mission▸ Writing chapter 04 of The Most Human In The Room▸ Reviewing the authorization-first RAG preprint▸ Recording new episodes for @RohithNambudiri▸ Maintaining DroidStar DMR for iOS▸ Mentoring two early-stage AI founders▸ AVP at Ting Works from 4 Jun 2026; was Sr. Product Manager — AI & Innovation since Apr 2025▸ Building Tingdom — Ting Works' internal operating platform▸ Architecting Project ATOM on Tingdom Gateway▸ Startup Mentor at Kerala Startup Mission▸ Writing chapter 04 of The Most Human In The Room▸ Reviewing the authorization-first RAG preprint▸ Recording new episodes for @RohithNambudiri▸ Maintaining DroidStar DMR for iOS▸ Mentoring two early-stage AI founders
I.
Chapter I — Position
From zero to shipped, again and again. Across safety, learning, and the enterprise.
I’m a product person who ships the code, and a founder who reads the research.
By the numbers
Years building
13+
Companies founded
3
Learners reached
85K+
Countries served
35+
Thirteen years, three companies, half a dozen domains. I started in personal-safety tech. Then spent a decade on an educator-centric platform that reached 85,000+ learners across 35+ countries. At Ting Works I joined in April 2025 as Senior Product Manager — AI & Innovation; on 4 June 2026 I was redesignated Associate Vice President — Product, AI & Innovation. I lead Tingdom, the company's internal operating platform, and Project ATOM, the intelligence layer that runs on top of it.
I am drawn to the boring problems behind every AI demo. Authorization, provenance, hallucination in long contexts, what happens when an agent picks up the wrong genre and starts sounding confident. I file patents about them, publish on them, then ship systems that work around them.
By the numbers
Years building
13+
Companies founded
3
Learners reached
85K+
Countries served
35+
Expertise
Hover to explore·Drag to rearrange
What I do, how I do it, and where I apply it.
Three layers of practice. Core practices are the work itself; technical depth is the toolkit I reach for; domain lens is where I keep applying both.
Core practiceTechnical depthDomain lens9 skills
Operating context
0iArchitect
Design platforms and AI systems end-to-end: Tingdom for operations, ATOM for intelligence on top.
iiFounder
Two companies from zero. One scaled globally and wrapped its chapter; one taught me what not to ship.
iiiResearcher
Patent pending on provenance-chained RAG. Papers on authorization, ghost context, genre lock-in.
ivWriter
Authoring a book about AI that takes people more seriously, not less.
I → II
II.
Chapter II — Work
The system I'm building now.
Live in productionInternal · TING
Associate Vice President — Product, AI & Innovation · 2025-04 →
TING
Tingdom · Project ATOM
One internal stack at Ting: Tingdom runs delivery, people, revenue, and culture; Project ATOM is the intelligence layer on top, grounded through Tingdom Gateway.
Tingdom
Tingdom is the company operating system at Ting Works. Rather than patch together disconnected SaaS tools, we built one platform end to end — project management shaped for creative and delivery teams, HRIS across the employee lifecycle, CRM and client relations, workflow management, finance operations, and an internal social intranet where institutional context actually lives.
Project ATOM
Project ATOM is the intelligence layer on top of Tingdom, Ting Works' internal operating platform. It connects event streams from across the company, runs them through a controlled inference pipeline, and surfaces context through product surfaces including ZPublish, TCIS, Workflow Manager, Tingdom Gateway, and HR Intelligence. Role-based access is enforced at the retrieval layer, not as an afterthought.
Onboarded as Startup Mentor after application approval. Support aspiring entrepreneurs through KSUM mentorship programs; profile listed on the Mentor portal.
Public service2026 → present
AI Readiness Mentor
Government of Kerala · AI Readiness Program
Appointed mentor under the Government of Kerala's AI Readiness Program. Advise public-sector teams and student cohorts on responsible AI adoption, agent design, and product judgement that holds up at scale.
Academic peer review2026
Program Committee Reviewer
ACL TrustNLP 2026
Reviewing submissions for the ACL TrustNLP 2026 workshop on trustworthy NLP. Focus areas include hallucination, authorization in retrieval pipelines, and evaluation of long-context language models.
II → III
III.
Chapter III — Research
A patent and six papers on making AI systems that don't leak.
Authorization is not a feature you bolt on. In a multi-agent system it is the architecture, or it is the vulnerability.From the SoK paper
III → IV
IV.
Chapter IV — The Book
A working manuscript about the people in the room with the machine.
What does it mean to be human when the machine can also do this?
Every generation of technology has asked a version of that question. Mine is answering it in real time. In IDEs, in classrooms, in hiring pipelines, in the HR modules I ship on Tuesdays.
The Most Human In The Room is a working manuscript. It draws on thirteen years of shipping AI products people actually use, and the quiet conviction that the right answer is almost always the one that takes people more seriously, not less.
Vol. 01Draft
The Most Human In The Room.
Rohith Namboothiri
This book isn't an argument against AI. It's an argument against a specific shape of laziness: the one that says, we have a model now, so we don't need to think about this anymore.
We need to think about it more. That's what the work is.
Short essays and build logs on AI products, research, and the slow craft of shipping. New episodes appear when I have something worth saying, never on a schedule.
An architecture review, a research collaboration, or a quiet conversation about what's next: I'm always interested in work that matters and people who care about getting it right.
