Summary
Mohammad Derakhshani is a PhD student at the University of Amsterdam with 9 years of experience in computer vision and machine learning, focused on image understanding, NLP, and multimodal learning. He specializes in pretraining and fine-tuning scalable deep generative models, including conditional text-to-image diffusion models and prompting large vision-language models. His internships at Microsoft and Samsung complemented academic research on few-shot, continual, and Bayesian variational learning, and he has practical experience in dataset synthesization and knowledge distillation. Based in Amsterdam, he blends strong research rigor with industry-grade experimentation, often targeting methods that transfer across modalities and learning paradigms. An active researcher with a public portfolio (mmderakhshani.github.io), he brings both theoretical depth and hands-on model-development experience to challenging ML problems.
9 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Computer Software Engineering, Bachelor’s Degree, Computer Software Engineering at Semnan University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Amsterdam
Master’s Degree, Artificial Intelligence, Master’s Degree, Artificial Intelligence at University of Tehran
English, pesian