Nouran S.

Key Skills

Software

AWS SageMaker

Top Subject Matter

Agentic AI / Generative AI

Computer Vision / Robotic AI image segmentation

IoT systems data handling / internal communications

Top Data Types

Image

Text

Top Task Types

Segmentation

Data Collection

Freelancer Overview

AI Engineer at IBM (Agentic AI systems, RAG pipelines, and LLM evaluation). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and TensorFlow. Education includes Bachelor of Science, German University in Cairo (2024) and Bachelor of Science, Universität Ulm - Institute of Neural Information Processing (2023). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Segmentation.

Labeling Experience

AI Engineer at IBM (Agentic AI systems, RAG pipelines, and LLM evaluation)

Text

Worked on RAG pipelines for enterprise agentic AI systems, focusing on retrieval optimization and response evaluation. Supported data preparation activities that enable evaluation and improvement of LLM-based agent workflows. Contributed to fine-tuning and behavior optimization efforts for LLM agents and multi-agent chat processes.• Retrieval optimization and response evaluation as part of RAG pipelines• Data preparation to support model and workflow evaluation• Fine-tuning/behavior optimization for agentic group-chat workflows• Deployment and integration support across AWS and Microsoft Azure

2025 - Present

Artificial Intelligence Developer Intern at Universität Ulm (simulation-based data and segmentation training)

Segmentation

Developed a simulation pipeline for robotic image segmentation tasks using deep neural networks. Collected simulated datasets and implemented pixel-wise classification required for segmentation training. This work involved preparing training-ready labeled data derived from simulation for computer vision models.• Pixel-wise classification implementation for segmentation• Simulated dataset collection for training• Deep neural network-based segmentation modeling• Integration with robotics tooling used for generating segmentation scenarios

2023 - 2023

Education

Work History