I build production GenAI systems (RAG, agents, fine-tuning) β and document the path from AI grad to AI Engineer, in Arabic and English.
π B.Eng. Information Engineering (AI & Data Science), Syrian Private University πΌ AI Engineer @ AppTech Systems
adstyle β AI marketing-image generator: turns a product photo into a finished ad while keeping the product pixel-perfect.
Inpaint-around-product + custom SDXL LoRA + LLM art director. Bilingual (Arabic/English).
pixel-exact product Β· 1,253-img LoRA Β· CLIP 32.6 / FID 227 Β· SDXL + PEFT + FastAPI
Agent From Scratch β Tool-calling data-analysis agent built with no framework Raw ReAct loop, 9 tools, evaluated on clean and adversarial data. 95.8% held-out Β· 66.7% dirty data Β· 100% abstention Β· Groq + gpt-oss-120b
AI Career RAG β Bilingual (Arabic/English) RAG career assistant
Grounded retrieval + generation, evaluated systematically β not a chatbot wrapper.
Precision@1: 80% Β· Precision@3: 100% Β· SBERT + FAISS + Qwen2.5-1.5B
π Live Demo
SignStream β ASL-to-speech pipeline (video β sign β English β audio)
Efficient pose-based Transformer, fine-tuned T5 for gloss-to-text.
74.70% val / 67.40% test top-1 Β· 18.65M params Β· 2,731 classes Β· ASL Citizen (~83K videos)
Diabetic Retinopathy Grading β Ordinal severity classification
EfficientNetB3 + CORAL ordinal regression, deployed as clean inference package.
QWK 0.9143 Β· 81.86% accuracy Β· weighted F1 0.824 Β· APTOS 2019
Building GenAI systems and writing the AI-grad β AI-Engineer roadmap for Arabic-speaking AI graduates.