Oussema Said

About Me

Hey, I'm Oussema! I'm an AI Engineer and Computer Engineering student at RWTH Aachen University, passionate about building AI systems that actually work beyond the prototype.

Right now, I'm especially interested in LLM powered applications working with RAG, evaluation, document processing, and the engineering behind bringing AI systems into production.

What I enjoy most is the building part: taking an idea, experimenting with it, figuring out what works, and turning it into something reliable and useful. I love exploring new technologies, solving challenging problems, and constantly pushing myself to become a better engineer.

Experience

AI Engineer

TRILUX, Cologne | 05/2026 – Present

Designed and implemented Retrieval-Augmented Generation (RAG) pipelines for production AI systems, improving the accuracy and relevance of chatbot responses.
Cleaned, transformed, and structured enterprise data to create high-quality knowledge bases for AI applications.
Developed Model Context Protocol (MCP) tools to extend the capabilities of an internal AI chatbot by integrating company systems and workflows.

Software Engineer (QA & Test Automation)

CGI | 11/2025 – 04/2026

Analyzed project and defect data using Python and SQL, transforming raw data into actionable insights for managers.
Built management dashboards to visualize defect trends, test coverage, and delivery timelines, enabling data-driven decision-making.

Software Developer

Fraunhofer Institute IPT | 10/2024 – 10/2025

Developed frontend (WPF/XAML) and backend (C#/.NET) components for high-speed microscopy software.
Collaborated with engineers and researchers to debug across hardware setups and improve system stability.
Worked with SPS/PLC systems to coordinate communication between software and hardware components for automated microscopy workflows.
Improved system responsiveness and user experience by profiling image processing performance and refining UI elements in WPF.

Selected Projects

Laptop and documents representing an AI document search system

Featured project

AI Document Search Engine

A RAG-powered search pipeline for asking natural-language questions across local PDF documents.

Python LangChain ChromaDB RAG

Implemented semantic retrieval with sentence embeddings and persistent vector storage.
Integrated a Hugging Face LLM and modular CLI for document ingestion and grounded querying.

AI Blog Article Generator

A web application that turns user prompts into dynamically rendered AI-generated articles.

Python Flask OpenAI API HTML/CSS

Connected structured user input to the OpenAI API through a Flask backend.
Rendered generated content dynamically for a smooth end-to-end workflow.

Traffic Sign Detection

A computer-vision application for detecting and classifying traffic signs from uploaded images.

Python TensorFlow OpenCV Flask

Developed a CNN-based model for traffic-sign detection and classification.
Built a Flask interface for image uploads and clear result presentation.

RC circuit tester hardware and measurement setup

RC Circuit Calculator

An embedded system that measures voltage and calculates an RC circuit's time constant in real time.

C++ STM32 ADC Embedded Systems

Programmed an STM32 microcontroller and integrated ADC voltage measurement.
Refined real-time signal processing for accurate, efficient calculations.

Skills

AI Engineering

LLMs
RAG
Embeddings
Vector Search
LLM/RAG Evaluation
Prompt Engineering

Machine Learning

PyTorch
TensorFlow
scikit-learn
OpenCV

Data & AI Pipelines

Pandas
NumPy
Document Processing
Data Extraction
Chunking
OCR

Programming

Python
C++ / C
C#
JavaScript / TypeScript

Cloud & Development

Azure
Git
Linux
Docker
REST APIs

Languages

German (C1)
English (Fluent)
Arabic (Native)
French (Fluent)

Contact Me

If you'd like to get in touch, you can reach me using the following methods.