Manal Meftah

• Designed and developed an end-to-end AI system for crawling and aggregating data from diverse online sources.

• Engineered robust pipelines to extract, reverse-engineer, and standardize information using ontology-driven data modeling and OCR-based document parsing, enabling accurate scoring of organisations.

• Led the architectural decisions while actively building core modules, integrating LLMs and automation tools for scalable, production-ready deployment.

• Conducted research on advanced neural architectures and GAN-based techniques, contributing to innovative applications of deep learning in 3D vision and computer graphics.

• Improved the photorealism of 3D scenes utilized in various industrial sectors.

• Tackled the computational and algorithmic complexities existant in photorealistic 3D rendering. Key Technologies: Python, Pytorch, GANs .

• Utilized deep learning approaches for predicting antimicrobial resistance from sequencing data.

• Evaluated and explained the obtained models, providing insights into their performance and implications. Key Technologies: Python, TensorFlow, Keras, TensorBoard. .