Professional Overview
AI Engineer and Python Backend Developer specializing in LLMs, RAG systems, Arabic NLP, and AI SaaS products. I build production-ready AI workflows using Python, FastAPI, AI APIs, and automation. Creator of Captionit, an AI-powered Adobe extension with real users and paid subscribers.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and launched Captionit, an AI-powered Adobe Premiere Pro and After Effects
- Developed Python backend and AI API integrations
- Built transcription, captions, translation, and TTS workflows
- Integrated auth, subscriptions, and SaaS access control
- Improved product based on real user feedback and issues
Key Achievements / KPIs
- Reached 600+ real users in less than one month
- Shipped a production AI product with real user workflows
- Built a live SaaS with payments, auth, and Adobe integration
Education
Field of Study: Machine learning
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
