I’m Suyog Bam, a junior at the University of South Florida majoring in Computer Science with a 4.00 GPA. I’m passionate about robotics, AI, software development, with skills in Python, React, Node.js, and cloud technologies like AWS and Docker. I’ve worked on projects like StockSavvy, an AI stock prediction app with 99% accuracy, and Tax-me-3tier-app, a MERN-based tax data analyzer.
Currently, I’m exploring research on human-robot interaction and LLM-enabled storytelling robots to support mental health. I thrive on solving real-world problems and contributing to meaningful innovations.
— 1/15/2025
During my time in the lab, I had the opportunity to contribute to impactful projects, enhance my research skills, and collaborate with a talented team. I am especially grateful for the support of Professor Han and the incredible teamwork I experienced. One of the most rewarding aspects of my experience was working with the Misty robot, where we integrated it with large language models (LLMs) to explore how social robots can support mental health and well-being in college students. Through this project, I learned how to approach real-world problems with technical solutions and came to appreciate how essential a smooth and structured workflow is to the success of research initiatives. I’m thankful for this journey, which has deepened both my technical and collaborative capabilities.
— 5/9/2025
