Papers & Analysis
Here are some of my publications from academic research and ongoing independent work. I continue to pursue research interests alongside my full-time job, focusing on efficient ML systems and the intersection of reinforcement learning with large language models.
My Publications
GigaAPI: A User-Space API for Multi-GPU Programming →
Omeed Tehrani, et al. • arXiv:2504.01266 • 2025
Abstracting multi-GPU programming complexities through a user-space API. Enabling accessible parallel computing without requiring deep CUDA expertise.
Learning Inverse Kinodynamics for Autonomous Vehicle Drifting →
Omeed Tehrani, et al. • UT Austin AMRL • arXiv:2402.14928 • 2024
Data-driven kinodynamic model learning for high-speed autonomous drifting with UT Automata platform. Selected for presentation at Amazon AI Symposium. Achieved obstacle avoidance through learned curvature correction.
Decision Transformers for Robotic Imitation Learning →
Omeed Tehrani • UT Austin RobIN Lab • 2023
Extended Decision Transformer for return-conditioned imitation learning on mixed-quality robomimic datasets. Outperformed behavioral cloning baselines on manipulation tasks (earlier work from graduate research).