Speaking

I do not pitch with slides. I pitch with telemetry.

I speak on production multi-agent systems, AI in regulated industries, local-first inference, and what it takes to build a company that actually runs on AI. Every talk is grounded in a real operation you can verify, not a demo.

The credential

A machine-verified snapshot of the operation behind the talks, live from one workstation.

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Talk topics

Nine angles, adaptable to your track.

AI engineering

They Do Not Survive Contact With Production

Running 28 autonomous agents across four companies, with self-healing, governance, and cost attribution.

Healthcare / regulated AI

Trust Requires Constraints

Putting AI inside a HIPAA-regulated billing operation, where what an agent cannot do matters more than what it can.

ML systems

Self-Improving Agents With Receipts

Eval-gated overnight training with frontier-lab statistical rigor, at the marginal cost of electricity.

Deep systems

397 Billion Parameters on a MacBook

Streaming a Mixture-of-Experts model from NVMe in hand-written C and Metal, and the 38% speedup from deleting the cache.

Keynote

I Do Not Pitch With Slides, I Pitch With Telemetry

Proving a one-person, always-on AI company with services, timers, commits, and snapshots you could audit.

Founders

Four Industries, One Operator

What it takes to hold equity in four AI businesses at once and run them with an agent fleet.

Applied AI / safety

Deterministic Before Generative

An anti-hallucination pattern for regulated AI: facts by exact lookup, the model only judges and writes.

Keynote / cross-disciplinary

From Theology to the Server Room

What a graduate degree in language and theology taught a builder about memory, dependency, and autonomous systems.

Voice AI

A Bot That Joins Your Google Meet

Full-duplex voice agents where no bot API exists, running tools live by voice mid-call.

Speaker bios

Copy-ready, by audience.

Technical program

Nabbil Khan builds and operates production multi-agent systems and hand-writes inference engines that run frontier open-source models on consumer hardware. He runs a 28-agent fleet across four companies and can back every claim with machine-verified telemetry.

Business / keynote

Nabbil Khan holds equity in four businesses and runs them with a fleet of autonomous AI agents he built. A former classical scholar and Bitcoin miner, he is the founder of Tensor Solutions, Mentor Agile, and MedicalBiller.AI.

Healthcare program

Nabbil Khan is building the first AI-native medical billing operation, from a HIPAA-audited voice agent that calls payers to a denial-management system backed by a 4.7-million-row knowledge base. He focuses on trustworthy AI in regulated workflows.

Longer bios, headshots, and one-sheets on request · official@nabbilkhan.com