Summary
Mohsen Larni is a PhD candidate and graduate assistant at UNLV with eight years of experience at the intersection of computer science and applied research, focusing on time series forecasting for financial markets and NLP/LLMs. He combines teaching (courses on LLMs, databases, and data structures) with hands-on research that has produced conference papers on non-sequential MLP models for financial forecasting and behavioral analysis of gamblers’ transactions. Prior roles include developing algorithmic trading bots and deploying ML systems such as facial recognition for time-and-attendance, showing a strong track record of moving models from prototype to production. Trained in computer engineering at Sharif University of Technology, he brings a multidisciplinary curiosity—melding questions of time, language, and consciousness from philosophy into practical ML solutions.
8 years of coding experience
2 years of employment as a software developer
National Organization for Development of Exceptional Talents (Sampad)
Physics, Physics at Young Scholars Club
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Nevada-Las Vegas
High School Diploma, High School Diploma at Atomic Energy High School
Bachelor of Science - BS, Computer Engineering, 3.52, Bachelor of Science - BS, Computer Engineering, 3.52 at Sharif University of Technology