AI & Python Developer | Specializing in Backend Systems, Computer Vision, and Generative AI.
I enjoy building scalable AI solutions from the ground up — combining clean backend architecture with advanced machine learning and image processing models.
🔭 Currently participating in a 3-month Generative AI & Computer Vision (GANs, Diffusion Models, Multimodal AI) through an intensive bootcamp at Hamrah Academy (In Progress).
Comprehensive codes and projects from a 200+ hour intensive Generative AI & Computer Vision program. Covers deep learning for image processing, generative models, and Multimodal AI.
PyTorch OpenCV CNNs Diffusion Models Generative AI
Asynchronous computer vision inference API built with FastAPI, Celery, Redis, and Docker. Features image upload, validation, background processing, and scalable task execution for AI workloads.
Python FastAPI Celery Redis Docker
RAG-based document question-answering system that allows users to chat with their own documents. Built end-to-end with document parsing, chunking, embeddings, and vector search.
FastAPI SentenceTransformers ChromaDB
Implemented core machine learning algorithms (Logistic Regression, KNN) from first principles to better understand optimization, training dynamics, and model behavior.
NumPy Math
A structured repository covering backend engineering fundamentals: clean code, OOP, layered architecture, AsyncIO, and Docker-based workflows.
Languages: Python • JavaScript • TypeScript • SQL
Backend & Architecture: FastAPI • REST APIs • AsyncIO • Celery • Redis • Docker
AI & Computer Vision: PyTorch • TensorFlow • OpenCV • Scikit-Learn • Generative AI (GANs, Diffusion) • Multimodal AI
Tools: Git • GitHub • Linux
💡 Open to roles in: Machine Learning Engineering, Computer Vision, AI Infrastructure, and Python Backend.