Nehal Darwish

Conducted advanced research in Artificial Intelligence, with a focus on emerging technologies including GenAI, CrewAI, and LangChain frameworks. Developed and integrated simulation environments for training and validating Reinforcement Learning models. Specialized in the implementation and evaluation of cutting-edge AI solutions.

Designed and implemented a Machine Learning-based Computer Vision system for automated recognition and classification of Lego components. Demonstrating practical application of Deep Learning techniques in Object Detection and Sorting tasks.

Worked collectively to design "Call", a real-time messaging platform with functionality comparable to Telegram, demonstrating expertise in building Scalable Communication applications.

Collaborated in the development and launch of an E-Learning platform utilizing the MERN stack, contributing to the full-stack implementation of a comprehensive online education solution.