Hey,
Backend & AI Engineer
Building production-grade AI systems — from multi-service CV platforms and generative pipelines to cloud-integrated backends. Python, FastAPI, Docker, and beyond.
I'm a backend and AI engineer who ships production-grade systems — not prototypes. My work lives at the intersection of Python API development, AI/ML integration, and scalable backend architecture.
During my internship at Voliom, I built a full computer vision platform backend with Firebase, Vertex AI, JWT auth, and Docker from scratch — working alongside senior engineers, shipping real code, and going through proper code reviews.
Outside of that, I built Imagenix — a three-service monorepo platform (NestJS + FastAPI + Next.js) integrating Stable Diffusion and Grounding DINO for AI-powered dataset augmentation. That's the kind of problem I enjoy: complex, multi-service, production-intent.
Currently studying Data Science at KFUEIT and looking for roles in AI/ML engineering, backend development, and data systems.
AI-powered CV dataset platform. Three-service monorepo: Next.js 14 frontend, NestJS backend, FastAPI + PyTorch ML microservice. Integrates Grounding DINO for auto-annotation and Stable Diffusion + ControlNet for generative augmentation. Exports COCO / YOLO / Pascal VOC.
View on GitHub →
Production backend API built at Voliom. Full auth lifecycle (Firebase + JWT), project & dataset CRUD, Vertex AI background jobs for image generation and captioning, Firebase Storage integration, versioned REST endpoints.
View on GitHub →
End-to-end deep learning pipeline for MRI-based brain tumor detection. CNN with transfer learning, OpenCV preprocessing, data augmentation, and full evaluation suite. OOP-structured for reproducible experiments.
One-page PDF covering backend & AI engineering experience, projects, education, and certifications — aligned with the work shown on this site.
Open to backend engineering, AI/ML, and data roles. If you're building something interesting — let's talk.