---
title: "Vivek Muppalla"
category: "people"
role: "VP AI Engineering"
company: "Hippocratic AI"
linkedin: "https://www.linkedin.com/in/vivekmuppalla/"
twitter: "https://x.com/vim1up"
website: "https://hippocraticai.com/"
sourceLabels: ["Official speaker roster", "Official conference schedule"]
---
# Vivek Muppalla

## Profile
VP AI Engineering at [[hippocratic-ai|Hippocratic AI]].

- [LinkedIn](https://www.linkedin.com/in/vivekmuppalla/)
- [X / Twitter](https://x.com/vim1up)
- [Website](https://hippocraticai.com/)

## Biography
Vivek Raju Muppalla is VP of AI Engineering at [[hippocratic-ai|Hippocratic AI]], where he leads product engineering for healthcare agents powering AI Front Door, Nurse Co-Pilot, and over 200 million patient-agent interactions. His focus is on turning frontier models into clinically safe, production-grade voice agents across real-time orchestration, evaluation, reliability, and patient-facing workflows.

Vivek has spent over a decade building applied AI and large-scale production systems across Cohere, Scale AI, Unity Technologies, Amazon, Groupon, and Expedia. His work has spanned GenAI applications, synthetic data, computer vision, simulation, and production ML at scale. At Cohere, as VP of AI Engineering and Custom Models, he launched GenAI products across Fortune 500 enterprises and co-developed Takane, a high-performing Japanese LLM built in partnership with Fujitsu.

Throughout his career, Vivek has focused on the hardest part of shipping AI: building systems that are reliable, measurable, and useful in production.

## Conference Sessions
- [[2026-07-01-vivek-muppalla-200-million-patient-interactions-later-what-the-generic-voice-stack-misses]] — 200 Million Patient Interactions Later: What the Generic Voice Stack Misses (2026-07-01, 12:05pm-12:25pm)

## Evidence Graph
This evidence graph summarizes how this person appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-07-01-vivek-muppalla-200-million-patient-interactions-later-what-the-generic-voice-stack-misses|200 Million Patient Interactions Later: What the Generic Voice Stack Misses]]

### Media Signals
- `youtube-u3NofYYstaY` — 2 slide-derived text signals
- Slide-derived themes for `youtube-u3NofYYstaY`: oracle, team, accenture.
- Evidence links for `youtube-u3NofYYstaY`: [[youtube-u3NofYYstaY]], [[youtube-u3NofYYstaY-slides]], [[youtube-u3NofYYstaY-dense-slides]], [[youtube-u3NofYYstaY-reconstructed-slides]]