I am a fourth year undergraduate student studying Computer Science at the University of Southern California. I am mentored by Anthony Liang, Yigit Korkmaz and Prof. Erdem Bıyık (LiRA Lab). I work to create safe, responsible AI systems for the real world.
I was an intern at IBM with Ajay Aggrwal, building a data-intensive full-stack application for asset management. Previously, I interned at Siemens with Phillip Tietjen, where I developed an application that uses Monte Carlo simulations for revenue projection.
Publications
RHODES: Reducing Human Oversight via Disagreement and Exploration for Safe Reinforcement Learning
Jaiv Doshi*, Anthony Liang*, Yigit Korkmaz, Erdem Bıyık
In Submission to ICML 2025
Projects
Generative Social Agents with Evolving Personas
At the Ahmanson Lab, I built an AI system that simulates human-like social media interactions using an adaptive context-based decision making framework. The system enabled AI agents to maintain evolving personas, build relationships, and respond contextually to conversations in real-time.
Adaptive Robotic Exploration for Haptic Property Recognition
In our final project, we developed a multimodal perception system that helps robots recognize object properties by combining haptic and auditory feedback. We built a ResNet-based neural network along with an adaptive exploration strategy that selects the most informative physical interactions based on expected information gain.