// Backend Engineer
Backend engineer for APIs, services and AI integrations.
Backend engineering is the fourth pillar: APIs, data models, services and integration layers that let AI workflows become useful products.
Best fit where AI automation needs a real backend: APIs, authentication, storage, dashboards and reliable integrations.
Proof points
- Developed RESTful APIs using ASP.NET Core, Entity Framework Core and MySQL.
- Built a FastAPI backend for an ML-powered mood tracking application.
- Designed integrated backend layers for full-stack and mobile applications.
Relevant work
- March 2024 to July 2025
Yoga Studio Management Platform
A booking, membership, payment, attendance, and operations platform deployed for one operating yoga studio. I owned most of the Flutter member and coach app plus its API integration, contributed to the React admin client, and coordinated with an ASP.NET Core and MySQL backend secured by Identity, JWT, and five-role access control.
Read case study - Oct 2024 — Mar 2025
EUNO: ML-Based Mood Tracker (Graduation Project)
ML-based mood tracker with a Random Forest model that reached about 87 percent accuracy after feature engineering and SMOTE class balancing. A FastAPI backend runs the preprocessing and prediction path, while Flutter, SQLite, and Firebase support the application. Built with Jaser Quteshat under Dr. Ahmad Barghash.
Read case study - May 2026 to present
EFQM/RADAR AI Report Analyzer
A local-first, multi-agent RAG pipeline for the first-pass desk assessment of EFQM-based organizational self-assessment reports. It retrieves assessment guidance, links findings to source evidence, flags gaps and conflicts, and produces structured draft feedback for human review. I lead the five-person team and enforce fail-closed scoring, typed agent contracts, reproducible run provenance, and CI evaluation gates.
Read case study
Search fit
- backend engineer Europe
- backend developer Germany
- API developer
- AI backend engineer