Enluma HealthCare
A healthcare automation suite leveraging AI to improve patient workflows. Engineered Consult+ for pre-consultation inquiries and Aftercare+ for gathering patient feedback after consultations.
Visit Live Site[ Core Responsibility ]
Full Stack Tech Lead @ Red Buffer
Led the full-stack engineering team to build, optimize, and deliver Enluma core healthcare automation suite. Directed frontend and backend developments for clinical intake systems and patient portals.
[ The Problem ]
Healthcare providers waste valuable clinical time on manual diagnostic documentation, while post-visit check-ins suffer from low engagement and unstructured tracking.
[ Core Capabilities Integrated ]
Consult+ Pre-Consultation Assistant: Built real-time, low-latency Speech-to-Text (STT) and conversational pipelines to handle and structure patient inquiries prior to their consultation.
Aftercare+ Post-Consultation Engine: Implemented specialized communication and assessment modules to gather post-visit check-ins and insights from patients after their consultation with the doctor.
Symmetric Security: Engineered end-to-end HIPAA-aligned data sanitization rules to guarantee the absolute privacy of Patient Health Information (PHI).
[ Measured Impact ]
Successfully deployed in live clinical settings, significantly reducing provider intake documentation overhead.
Engineered highly responsive streaming audio latency using optimized WebSocket connections and localized API endpoints.
Achieved an exceptional medical-accuracy rating for automated clinical session summary models.