Mohammad Mahdi Rahneshin

About Me

I am a recent B.Sc. graduate in Computer Engineering from Ferdowsi University of Mashhad, with a strong foundation in AI, machine learning, and data structures. My bachelor’s final project was an industry collaboration with Nian Electronic Company, where I implemented the approach from the research paper “Predictive Maintenance of VRLA Batteries in UPS towards Reliable Data Centers” using Gradient Boosted Decision Trees to predict VRLA battery degradation in advance for the company’s BTS systems.

I directed national- and university-level programming contests as Dataleague’s Exercise Design Team Lead and developed an automatic judging system, “Sepehr,” for algorithmic problems. My projects extend across transfer learning for age prediction, EEG-based seizure signal classification, and AI agents for games.

As a Teaching Assistant for Data Structures and Algorithm Design over five semesters, I enjoyed mentoring students and fostering their growth. I am particularly passionate about NeuroAI, exploring how biological brain mechanisms can inspire more efficient AI architectures, and building tools that advance research and learning at the intersection of neuroscience and AI.