Dr. Ravi Teja Thiriveedhi
Healthcare AI · Agentic systems · AI governance

Dr. Ravi Teja Thiriveedhi

I treated patients and ran hospitals in Hyderabad for twenty years. Since February 2026 I design, build and operate production multi-agent AI, with the discipline a clinic needs: written protocols, safety gates, audits and measured results.

BDS, dental surgeonLed 3 healthcare facilities (2 founded)Hyderabad, India · IST · open to remote work worldwide
24production AI agents across 2 live platforms
1,026automated tests passing at my AI OS release v1.3.0
−91%AI heartbeat spend on a client platform
20 yrsclinical practice and hospital leadership
Selected work, 2026

Shipped and running

Live · Client

AI operations platform for a real-estate brokerage

A 15-agent WhatsApp and Telegram platform that captures, qualifies, routes and follows up enquiries, with the owner approving anything sensitive. Live since June 2026.

  • 460+ leads and 8,688 logged customer interactions
  • Heartbeat tokens 12.0 M → 1.0 M a day; ₹0 marginal API cost per lead
  • 129 bugs closed, each with root cause, fix and lesson
Live · Own platform

Tejas Empire OS

My self-hosted, governed multi-agent AI operating system: 9 agents for orchestration, research, job search, education, SRE triage and records, on a 2012 Mac mini with 8 GB of RAM.

  • 8 releases in 7 days (v1.0.0 → v1.3.0, Oct 2026)
  • Release gate: 99 of 99 suites, 1,026 tests, 0 failures
  • Gateway CPU 158–209% → 2–4% after a traced fix
Open source · Apache-2.0

Agent governance kit

Autonomy levels, risk classes, approval tiers, kill switches and audit templates, mapped to the OWASP Agentic Top 10, NIST AI RMF and ISO/IEC 42001, with a healthcare overlay for India and a small policy checker.

Open source

LLM token economics

How an agent fleet's heartbeat tokens fell 91%: 18 cost methods, a measured before and after, and an audit checklist anyone can run on their own fleet.

Pilot product · pre-go-live

Dental WhatsApp Front Desk

An administrative-only assistant for small dental clinics: consent-first booking, reminders, recalls and hand-off to a human for anything clinical. It never diagnoses, prescribes or markets.

  • Designed toward India's DPDP Act, Telemedicine Practice Guidelines 2020 and Dental Council rules
  • 17 automated tests, including a 14-day simulated clinic pilot; go-live waits on dentist, lawyer and clinic sign-off
Try it yourself

Live demos, in your browser

Each demo runs the same rules as its repository, on invented data. Nothing is sent anywhere.

How I work

How I work

AI-native, with brakes

I direct AI coding agents through specs and task cards with acceptance criteria. I own the architecture, review, testing, release and operations.

Governance first

Autonomy is earned. Anything touching patients, money, customers or data needs a human approval and leaves an audit trail.

Cost as an outcome

Measure first. Deterministic checks before model calls, right-sized models, cache-friendly prompts.

Clinical depth

The domain I bring to health tech

The full clinical record

Stack

Stack

Contact

What I'm looking for

Remote roles, worked from India, in healthcare and dental AI, agentic systems (forward-deployed, solutions) and AI governance. I am also open to advising clinical AI teams on product validation, patient safety and India go-to-market. Flexible hours for UK, EU and US overlap.

Résumé on request: email me with the role and I'll send the version that fits it.