RESUME

Hello! I'm

Ali
Elhosh

Software engineer in health technology — building the infrastructure and apps behind better healthcare.

✦ drag the orb

NOW

Building the future of health-tech

  1. Wissenschaftlicher Mitarbeiter

    Universitätsmedizin Göttingen

    2026

    Building containerized research infrastructure and CI/CD for the DZHK Feasibility Explorer — production Spring Boot & Java systems for clinical research.

  2. Wiss. Mitarbeiter — Medizininformatik

    TU Dresden · IMB

    2025

    Analyzed and optimized a FHIR-to-OMOP ETL pipeline for the NUM study network, with deep profiling and code-quality work (SonarQube, JFR).

  3. Software Developer

    BAYOOMED · Darmstadt

    2024

    Built regulated cross-platform medical apps with .NET MAUI — a DiGA blood-pressure app with Bluetooth hardware and a prosthesis control app.

  4. M.Sc. Medical Informatics

    TH Mittelhessen · Master's thesis

    2022

    Graduated in Medical Informatics; thesis on a DiGA digital health application, built to ISO 13485 / IEC 62304 standards.

  5. Working Student, Software Dev

    BAYOONET · Darmstadt

    2021

    Backend development for medical software; foundations in ISO 13485 quality and ISO 27001 information security.

  6. B.Sc. Biomedical Engineering

    TH Mittelhessen

    2020

    Where it started — healthcare software, signal processing, and diagnostic technology. The spark for everything since.

WORK

DZHK Feasibility Explorer

Universitätsmedizin Göttingen

Containerized platform for feasibility queries over pseudonymized clinical data across the DZHK network.

  • Java
  • Spring Boot
  • Docker
  • GitLab CI/CD

DiGA Blood-Pressure App

BAYOOMED

Prescribable digital health app with Bluetooth hardware and gamification, built to German DiGA standards.

  • .NET MAUI
  • BLE
  • OAuth 2.0

Prosthesis Control App

BAYOOMED

Cross-platform app for controlling modern prostheses — tuning modes and resistance for daily mobility.

  • .NET MAUI
  • Bluetooth
  • iOS/Android

FHIR-to-OMOP ETL

TU Dresden · NUM

Profiled and optimized a clinical-data ETL pipeline, removing performance bottlenecks with JFR & SonarQube.

  • Java
  • FHIR
  • OMOP

TECH STACK

Python
JavaScript
sharp
.NET
Java
Arduino
Git
GitLab
Bash
Terraform
SQLite
SonarQube
Confluence
Hadoop
Spark
Kafka
MAUI.NET MAUI
EFEntity Framework
LVLabVIEW
MATMATLAB
SWSolidWorks
PSPowerShell
SQLSQL
CICI/CD
AzAzure
AWSAWS
OAOAuth 2.0
FHIRFHIR
OMOPOMOP
MSOMS Office