Azza Sekarnova
I’m a Full-Stack Software Engineer building scalable, production-grade web applications across healthcare and language platforms. js — with a focus on clean architecture, performance, and maintainability.
About
I’m a Full-Stack Software Engineer building scalable, production-grade web applications across healthcare and language platforms. I develop end-to-end systems — from PostgreSQL schema design and REST API architecture (Node.js, Express, FastAPI) to responsive frontends in React and Next.js — with a focus on clean architecture, performance, and maintainability. I’ve built and maintained hospital EHR, ERP, and portal systems serving thousands of users monthly, and architect backend services for national-scale platforms. I also integrate AI capabilities where needed, I’ve engineered embedding models for information retrieval over structured medical data and deployed AI clinical decision support tools inside live hospital EHR systems.
I bring prior training in UX research and product design from a highly competitive Apple Developer Academy program, allowing me to approach engineering with a human-centred design perspective. Ultimately, I care about building technology that is reliable, thoughtful, and genuinely useful to the people who depend on it.
- 2 years' experience
- Joined February 2026
Industry experience
- Software & Internet
- Healthcare
- Education
- Media & Entertainment
Work experience· 4 roles
Architect and develop system architecture for a gamified learning 'Amazing Race' platform, building backend services, progression logic, scoring engines, and scalable APIs to support dynamic, multi-user gameplay.
Researched and trained embedding models for information retrieval on EHR clinical data and Ministry of Health guidelines (PPK/PNPK) to enhance LLM evaluation of patient records for evidence-based medicine guideline compliance. Developed a Python-based ETL pipeline to extract and clean structured EHR data (~3k records), producing embedding-ready datasets as a proof-of-concept for clinical ML application. Deployed ML systems using FastAPI, integrating LLM + retrieval pipelines directly into live EHR workflows for real-time clinician support.
Developed multiple hospital systems (EHR, ERP, LMS, public web portals) used by 200+ hospital staff and ~2,200 patients monthly. Contributed across full stack development from database schema design and REST API implementation to frontend development using React, Next.js, Vue, Node.js, Express.js, and PostgreSQL. Led end-to-end design and implementation of features including AI clinical decision support, attendance & leave management, career portal, medical bundle purchase flows, and customer loyalty systems. Migrated hospital website from SPA to Next.js SSR, improving SEO and search visibility.
Education
GPA eq. 3.74/4.00
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