A LITTLE ABOUT ME

Curiosity led me here.
Engineering keeps me going.

I'm Emad — an AI engineer drawn to problems where research, software, and the messy details of the real world meet.

01 / MY STORY
eb.

Research-minded.
Product-focused.

I studied Computer Science at the University of Milan, where I became especially interested in how machines interpret visual and textual information. My master's thesis brought that interest into a demanding domain: examining the consistency and authenticity of insurance claim images.

Today, I work on applied AI at Kube Partners, exploring how machine learning methods fit into real systems. I care about architecture, evaluation, the quality of data, and the decisions that happen beyond a model's output.

I'm also deliberately strengthening my fundamentals: independently designing and implementing systems, writing clearer code, and documenting lessons that might help others.

02 / EXPERIENCE & EDUCATION

Where I've been.

CURRENT

AI Engineering · Kube Partners

Applied AI, computer vision, image analysis, and systems for interpreting complex visual inputs.

2026

M.Sc. Computer Science · University of Milan

Thesis: Vision-Language Models and Digital Forensics for Insurance Claim Fraud Detection.

03 / TOOLS & INTERESTS

What I work with.

CORE ENGINEERING
PythonREST APIsDockerData pipelines
AI & MACHINE LEARNING
Vision-language modelsEmbeddingsComputer visionImage forensicsVector search / Qdrant
CURRENT CURIOSITIES
Retrieval-augmented generationAI system designEvaluationReliable AI workflows

04 / WHAT'S NEXT

Keep learning.
Keep building.

I'm interested in engineering teams that take both technical rigor and real-world usefulness seriously. This site is a living record of what I'm exploring and making.

Explore my work