Saipraneeth Devunuri
I'm a Senior AI Scientist at Optym, where I develop AI-driven solutions to tackle complex transportation and logistics challenges. Previously, I was a PhD student in Transportation Engineering at the University of Illinois, Urbana-Champaign, where I focused on applying Large Language Models and Computer Vision to transportation data.
During my PhD, I worked closely with Professor Lewis Lehe on projects such as TransitGPT, a framework for querying transit data using natural language, and on automated parking lot detection from satellite imagery. My research emphasized making transportation data more accessible and developing practical tools to support urban planning and operations.
My work spans natural language processing, computer vision, and transportation engineering, with publications on ridesplitting effects in Chicago and infrastructure crack detection benchmarks. I'm especially interested in how AI can democratize access to transportation data and improve decision-making in the public and private sectors.
Publications
An unsupervised learning framework for detecting adaptive cruise control operated vehicles in a vehicle trajectory data
Mohammadreza Khajeh-Hosseini, Alireza Talebpour, Saipraneeth Devunuri, Samer H. Hamdar
Expert systems with applications 2022