Summary
Boubacar Diallo is an AI Software Engineer with eight years of experience specializing in image forensics and deep learning, currently applying model development, optimization, and deployment at EXXACT Robotics. He completed a PhD-focused research trajectory at XLIM/Université de Poitiers on image integrity—bridging physical camera models and modern CNN/GAN-based detection—bringing practical expertise in Python/C++ and frameworks like TensorFlow, PyTorch, Caffe and Keras. His work spans camera model identification, tamper detection, compression-aware methods and auto-encoders, with hands-on experience in both CPU and GPU production environments. Based in Épernay, France, he combines academic rigor with industry pragmatism, able to translate cutting-edge forensic research into deployable solutions. An underappreciated strength is his end-to-end fluency from low-level image processing to training and shipping deep models, making him effective at both prototyping and productionalization.
8 years of coding experience
Doctor of Philosophy - PhD, Deep Learning, Image Processing, IoT, En cours, Doctor of Philosophy - PhD, Deep Learning, Image Processing, IoT, En cours at Université de Poitiers
Licence et Master, Informatique, Réseau et Télécom, 14, Licence et Master, Informatique, Réseau et Télécom, 14 at Université Cheikh Anta Diop de Dakar (UCAD)