I will build a healthtech mvp web app

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Amir T
Sommige informatie wordt in het Engels weergegeven.

Over deze dienst

A working backend and frontend for your healthcare product, built to actually hold up once real users start using it.


I build full-stack apps with FastAPI on the backend and Next.js on the frontend, containerized with Docker and backed by PostgreSQL, with proper authentication and role-based access from day one. This comes from real experience: I built a precision-health platform from an early prototype into a production system with JWT auth, multiple user roles (admin, doctor, technician, patient), full audit logging, and a data layer holding hundreds of thousands of records without slowing down.


What you can expect:

Clean, documented API design with FastAPI

Next.js frontend, responsive by default

Role-based access control, not just a single login

Audit logs where your workflow needs a paper trail

Dockerized setup so deployment isn't an afterthought

Code that's clean enough for another developer to pick up later


I'm not going to oversell this as HIPAA-certified or fully compliant out of the box, that needs a legal and security review specific to your case, but the technical foundation is built with that bar in mind, not bolted on after.


Message me your feature list :)

Maak kennis met Amir T

Amir T

Biomedical AI Engineer Genomics Biosignals and Precision Health

5,0(1)
  • Afkomstig uitVerenigd Koninkrijk
  • Lid sindsjul 2024
  • Laatste levering1 jaar
  • Talen

    Perzisch, Engels
I'm Amir, an AI engineer and full-stack developer with 9+ years in Python, MATLAB, and machine learning, focused on healthcare and biomedical applications. My main project is a precision health platform I built from scratch, where patients upload lab work, microbiome panels, and raw genetic data to get personalized nutrition, exercise, and medical insights. On genomics, this includes ACMG-based variant classification and polygenic risk scoring, built on FastAPI, Next.js, and PostgreSQL. I've also worked on EEG/ECG processing, medical imaging with CNN/YOLO models, and published IEEE research.

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