Who am I?

Hi, I’m Ali Hamama.
Engineer. Explorer.
Always learning.

I’m an AI engineer focused on turning models into practical systems that solve real problems. I enjoy the work beyond the model, connecting data, building pipelines, and making everything run reliably in the real world.

EXPERIENCE / A LITTLE CONTEXT

Practical AI.
Real-world constraints.

My background is in computer vision, where I’ve worked across object detection, segmentation, OCR, and zero-shot models. What drives me most is deploying these models in real-world environments and making them perform reliably under challenging conditions such as unstable cameras, low-resolution footage, and limited computing resources.

A core part of my work focuses on optimizing inference for edge devices. Using tools like TensorRT, I reduce latency and tailor pipelines to the target hardware while keeping results accurate and consistent in demanding conditions.

Building on this foundation, I’m now developing an AI-powered real estate assistant for the UAE market. The system combines language models, retrieval-augmented generation (RAG), and tool calling to deliver accurate answers grounded in property transaction data and official documents.

SKILLS & EXPLORATION

A practical toolkit.

What I’ve worked with.
What I’m exploring next.

01

Computer vision & inference

Professional experience

Multi-stage vision pipelines, OCR, detection, segmentation, tracking, inference optimisation, and edge deployment.

PythonYOLOTensorRTNVIDIA TritonNVIDIA JetsonDockerPyTorchOpenCVData annotation
02

Data & retrieval

Hands-on exploration

Building databases and indexes, and developing well-maintained RAG pipelines for data preparation, retrieval, and grounded answers.

PostgreSQLData preparationEmbeddingsRAGSQLiteIndexing
03

LLMs & agents

Currently learning

Exploring LLM applications, tool calling, and agent workflows with LangChain and LangGraph.

LLM applicationsAgentic AIRetrieval experimentsLangChainLangGraph