AI Diabetology & Clinical Decision Support System
Domain Originator & Founder Profile
Practicing Consultant Physician and Diabetologist with direct patient care experience in chronic diabetes, glycemic variance, and clinical workflow friction in tier-2/3 Indian cities
The Venture Thesis & Ground Operational Reality
Developing an AI-assisted clinical workflow and continuous patient monitoring platform to empower physicians with predictive glycemic tracking, guideline adherence, and automated patient triage.
Chronic disease management, especially type-2 diabetes, suffers from fragmented patient follow-ups, lack of continuous glycemic decision support for busy clinicians, and a high doctor-patient ratio across India. Most digital solutions lack clinician adoption because they are designed without frontline medical context.
Ideal Candidate Profile
- Passionate full-stack/AI engineer with 3+ years experience building web/mobile products in Python, TypeScript, and modern frameworks
- Strong interest in healthcare AI, clinical decision support, and digital health privacy standards (ABDM/HIPAA)
- Ability to own technical architecture 0-to-1, ship an MVP rapidly, and work directly alongside a clinical practitioner founder
Core Day-1 Responsibilities
- Architect and implement the core AI clinical decision support engine and patient telemetry ingestion pipelines
- Build the physician web portal and mobile-friendly patient glycemic logging interface
- Lead technical product validation, medical data security protocols, and cloud infrastructure setup
Submissions are reviewed by our venture partner team within 24 hours. Intros are coordinated directly with the founding team.