AliveCor
Leading enterprise cardiac care solutions • Serving 3M+ users across 40+ countries
Overview
As Lead Software Engineer, I spearheaded the development of enterprise cardiac care solutions at AliveCor, transforming how healthcare professionals diagnose and monitor heart conditions.
Led the entire effort of creating an enterprise solution for the revolutionary Kardia 12L—the first-of-its-kind portable 12-lead ECG device, lighter than a smartphone yet capable of 35 FDA-cleared determinations.
"I truly believe a correct diagnosis came about faster, without a possible emergency room visit, and in the comfort/safely at home only because of this fabulous device."
— Real user testimonial, Kardia App (193K ratings, 4.8★)
Role & Impact
- →Promoted from Senior Software Engineer to Lead Software Engineer
- →Spearheaded SwiftUI migration, improving performance and stability by 25%
- →Integrated DICOM standards for seamless medical file-sharing
- →Delivered crash-free experiences across three product lines
Core Products
Kardia 12L + KardiaStation
Enterprise HealthcareLed the development of the enterprise solution for Kardia 12L—a revolutionary portable 12-lead ECG device. Built KardiaStation App as a core pillar of the AliveCor system, enabling healthcare professionals to acquire FDA-cleared ECG readings anywhere.
- • 35 FDA-cleared determinations
- • AI trained on 1 million ECGs from leading US institutions
- • Lighter than a smartphone (0.3 lbs)
- • Single-cable design for intuitive use
Kardia App
Consumer HealthPersonal ECG monitoring with 193K ratings and 4.8★ average. Empowering users to detect AFib at home and share data with their cardiologists remotely—enabling faster diagnoses without emergency room visits.
KardiaRx
BioPharmaClinical trial and medication safety monitoring solution. Advancing disease monitoring to mitigate risks of potentially dangerous medication side effects in pharmaceutical research.
Technologies
Future Vision
Exploring Local RAG (Retrieval-Augmented Generation) to unlock even greater value from locally stored historical cardiac data.
This approach would enable privacy-preserving AI analysis of patient health trends, delivering personalized insights without compromising data security—the next frontier in cardiac care.