Arvind Badrinarayanan

CEO

Bengaluru, Karnataka, India14 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed an AI-powered stethoscope for better clinical outcomes.
Built one of India's largest body-sound datasets.
Recognized by leading accelerators for medtech innovation.

Stackforce AI infers this person is a Healthcare innovator with expertise in AI-driven medical devices.

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Skills

Core Skills

Product DevelopmentHealthcare Innovation

Other Skills

AI in HealthcareAdventure TravelBusiness DevelopmentBusiness ManagementBusiness StrategyClinic ManagementClinical Decision Support SystemsCommunicationConservation IssuesCustomer ServiceDigital HealthEdge AIEnglishEntrepreneurshipFundraising

About

I’m building TAAL at Muse Diagnostics - an AI-powered digital stethoscope that helps frontline teams screen heart & lung conditions faster and more reliably. Already used in senior care, PHCs & CSR pilots, TAAL turns sound into actionable cues. If you run screening programs, DM me “TAAL pilot” for a 60-day demo. In busy senior care centers, PHCs, or community camps, clinicians juggle noise, time, and variable skill levels. Subtle murmurs or crackles are easy to miss but they matter. That’s why we designed TAAL to combine clear, high-fidelity sound capture with signal-level intelligence. It records and analyzes heart and lung sounds (and ECG and Spirometer where available), surfacing actionable cues like S1/S2, murmurs, or abnormal respiration to support earlier, better referrals. Why partners choose us 1. Works with minimal training and is offline-friendly 2. Grounded in clinical pilots with real-world feedback 3. Backed by one of the largest body-sound datasets in the world. If you run senior care, PHC networks, or CSR health screening, send me a message with “TAAL pilot.” I’ll share our one-pager, workflows, and how a 60-day pilot could look for your team.

Experience

Zoa vet clinic

Managing Director

Mar 2016 – Present · 10 yrs · Bengaluru Area, India

Museinc india

CEO

Jan 2014 – Present · 12 yrs 2 mos · Bengaluru Area, India

At Muse Diagnostics, I lead the development and deployment of TAAL, an AI-powered digital stethoscope that combines heart and lung sound analysis (PCG) with ECG and Spirometer integration to support earlier cardio-pulmonary screening.
Key highlights:
Product innovation: Designed and launched TAAL, a clinically grounded device that captures high-fidelity heart and lung sounds, aligns them with ECG and Spirometer readings, and provides actionable cues such as S1/S2, murmurs, and abnormal respiration.
Field deployments: Rolled out TAAL in senior care centers, PHCs, and CSR health pilots, ensuring usability for frontline workers in both urban and rural settings.
Clinical collaboration: Partnered with hospitals, municipal health programs, and senior care providers to validate workflows and gather real-world feedback.
Dataset leadership: Built one of the largest curated body-sound datasets in India, strengthening algorithm performance in noisy, high-volume environments.
Impact focus: Reduced missed detections of subtle murmurs/crackles by pairing frontline intuition with signal-level intelligence; enabled scalable screening in under-resourced settings.
Recognition: Featured by Brinc and ISB I-HEAL - two leading accelerators and grant programs including BIRAC's BIG grant supporting medtech innovation in India. Winners of American Society of Mechanical Engineers ISHOW 2019 and NXP India Tech Startup Challenge 2024.