Summary
Ayush Panda is a Georgia Tech computer scientist and researcher with nine years of engineering experience, currently pursuing an MS while working as a scholar at MATS Research. He co-founded the AI Safety Initiative at Georgia Tech, running curricula-based bootcamps and discussion groups that translate cutting-edge AI safety literature into hands-on learning. His internships span AWS and research roles where he probed LLM internals—building sparse autoencoder methods and datasets to extract token-level ontologies from models like Llama 3 and Gemma. Ayush combines systems-level engineering (robotics path planning, OpenCV vision work) with interpretability and safety-focused ML, bridging applied software development and research. Notably, he’s taught and graded CS safety coursework for large cohorts, demonstrating an ability to communicate technical material clearly while contributing to reproducible safety experiments. Based in Atlanta, he blends academic curiosity with practical product-minded execution across research and industry settings.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology