Hi, I'm Vishnu.

I'm a physician & software developer passionate about innovation at the intersection of medicine and technology.

About Me

I'm a physician and software developer experienced in creating digital health solutions leveraging AI, wearables & connected medical devices, and health data standards.

I started learning to code at a young age and have always been passionate about digital health. During my medical training, I did early work developing clinical applications with conversational AI and wearables as well as extracting insights from unstructured health data using machine learning.

I co-founded a startup as a medical student that developed software to help physicians prioritize free-text clinical reports. In the early stages of the COVID-19 pandemic, I developed digital solutions that were deployed internationally.

In my role as Lead Architect of the Digital Health program at Stanford University's Byers Center for Biodesign, I've led the design and development of several digital health projects at Stanford, including CardinalKit and Spezi, open-source frameworks for creating digital health applications on iOS and Android based on healthcare data standards such as HL7 FHIR. CardinalKit and Spezi have been used to create more than 20 applications for research and clinical care in use across Stanford Medicine and many other leading healthcare institutions.

In addition, I am the technical lead for HrtEx, the Stanford Center for Digital Health's semi-automated remote hypertension management system with guideline based medication titration that is integrated with wireless home blood pressure monitors and Stanford's Epic electronic health record system.

I have also been teaching Stanford's digital health course (CS342) since 2021, in which students build and launch real-world digital health applications in collaboration with faculty from the Stanford School of Medicine.


Recent Work

  • Stanford Spezi - Open source, modular framework for developing digital health applications
  • HealthGPT & LLMonFHIR - Conversational interfaces to health data using Large Language Models
  • LifeSpace - Evaluating how environmental conditions affect health using life-space mapping
  • HealthKitOnFHIR - Converts HealthKit data to HL7 FHIR resources
  • ResearchKitOnFHIR - HL7 FHIR Structured Data Capture on iOS with ResearchKit

Prior Work


Platform for studying the long-term effects of COVID-19 with mobile health data and electronic health record integration.

Supported by Google Cloud's COVID-19 Hackathon Fund.

Localing  🇬🇧

Hyperlocal marketplace platform to help small businesses in the UK survive and recover from the economic shutdown.

Supported by the University of Cambridge Judge Business School · Accelerate Cambridge programme.

Alla Tillsammans
Alla Tillsammans  🇸🇪

Organizing assistance for isolated populations during COVID-19 and preventing social seclusion.

Community-powered platform in collaboration with non-profits in Sweden.

Machbarschaft  🇩🇪

AI assistant hotline to help millions in Germany obtain essentials safely during the pandemic.

Winner of the German federal government's #WirVsVirus competition.


Helps patients create a visual symptom timeline to share with their doctors.

Developed for a digital health startup.


Frustration-free patient intake with automatically generated clinical documentation.

Developed for an Otolaryngology practice.


Simulation of the algorithm that matches medical school graduates with residency training programs in the US.

Featured on NPR Planet Money, Doximity DocNews, Medium Top Stories, and Nate Silver's FiveThirtyEight.


System for incident commanders to monitor the safety of emergency responders using wearable sensors.

Winning Solution for the NIST TechToProtect Challenge NYC 2019.


Conversational AI that assists with triage and documentation for urgent care and telehealth encounters.

Developed for an urgent care clinic.

Off the Record
Off the Record

App that helps adolescents bring up sensitive health issues with their doctors using self-destructing messaging.

Developed for the Innovate NewYork-Presbyterian Pediatric App Challenge.

Hermes Assistant

Voice assistant that answers questions about patients based on electronic health record data.

Winner of the 2013 AthenaHealth MDP Hackathon.


Sorts radiology reports based on urgency using a machine learning classifier.

Winner of the 2013 Brigham & Women's Innovation Hub Hackathon.


Chatbot that helps teens practice dealing with cyberbullies in a safe environment.

Winner of the #HackHarassment prize sponsored by Intel.

Critical Results
Critical Results

Smartwatch app for physicians that displays customized notifications for critical lab results.

First healthcare app developed for the Pebble smartwatch.


Please feel free to send me an e-mail at [email protected] or find me on LinkedIn, Twitter, or Instagram!