Summary
Sepide Adamiat is a Machine Learning Engineer and PhD candidate in Artificial Intelligence at Eindhoven University of Technology with 11 years of experience applying Bayesian inference, signal processing, and brain-inspired algorithms to real-world problems. She researches computational models that replicate neuronal activity while translating those advances into production-ready AI systems for industry. Her background spans end-to-end model development, deployment, and mentoring across companies where she helped online retailers and other businesses understand AI’s opportunities and limits. Combining rigorous academic training from TU/e and Isfahan University of Technology with hands-on engineering, she routinely bridges theory and practice. Notably, her work emphasizes biologically plausible learning rules—an uncommon angle that informs both research and applied ML solutions. Based in the Netherlands, she stays current with cutting-edge AI research and focuses on making innovative methods practically impactful.
11 years of coding experience
2 years of employment as a software developer
Phd, Electrical and Electronics Engineering, Phd, Electrical and Electronics Engineering at Eindhoven University of Technology
Computer Science, Computer Science at University of Isfahan
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Isfahan University of Technology
Persian, English