AI MedTech

Saarthi AI Triage — LLMs Architecture

Advanced Next.js AI Triage System helping healthcare professionals prioritize patient care efficiently.

Dashboard interface and system architecture for Saarthi AI Triage

The Problem & My Role

Role: Lead Full Stack Developer & Architect

The AI MedTech industry faces significant challenges in optimizing digital experiences and managing complex workflows. Users need a reliable, fast, and scalable platform to handle daily operations efficiently without performance bottlenecks.

The Solution

I developed Saarthi AI Triage to address these exact pain points. By combining an intuitive user interface with a highly optimized backend, the platform delivers a seamless, accessible, and highly performant experience tailored to its core audience.

Technical Architecture

The system architecture is primarily built utilizing LLMs, Healthcare, React. The frontend leverages modern React practices for rapid hydration and interactive UI components, while the backend ensures secure and scalable data flow.

Core Technologies:

LLMsHealthcareReact

UI/UX & Constraints

Design Approach: Designed a minimalist, user-centric interface focusing on high contrast, accessibility, and smooth micro-interactions (using GSAP and Tailwind) to reduce cognitive load and improve user retention.

Engineering Constraints: Balancing rich, interactive animations with stringent performance and Core Web Vitals targets required aggressive asset optimization, code-splitting, and lazy loading strategies.

Results & Impact

Successfully launched Saarthi AI Triage in 2026, establishing a robust and scalable architecture that drastically improved user engagement and set a strong foundation for future feature expansions.

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Need similar capabilities?

If you are looking to build a scalable AI MedTech architecture, let's connect. I specialize in enterprise-grade engineering.

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