Huzam Shukkur

I've built AI products including Pixels AI, a full-stack product image studio using React, FastAPI, and Python. Its NLP prompt-to-pipeline engine selects and sequences AI tasks through PhotoRoom and OpenAI APIs.

I implemented batch image processing with real-time WebSocket progress tracking for background generation, reflection removal, and lighting enhancement. I also developed Explainable AI for Pneumonia Diagnosis, integrating LIME and SHAP to make model outputs clearer for non-technical users.

With NutriBot, I created an AI-powered food allergy detection assistant that personalises recommendations from user health profiles and multi-modal inputs such as photos and menus. I designed user-facing features including medical reminders and allergy-safe hotel suggestions.

I'm an AI/ML engineering graduate focused on AI automation, workflow automation, API integration, and scalable end-to-end AI pipelines. I bring hands-on experience with Python, SQL, TensorFlow, Scikit-learn, Pandas, NumPy, prompt engineering, and basic Azure services.