Aarav Bajaj

Aarav Bajaj is a burgeoning entrepreneur and AI innovator, currently co-founding Aegis (YC X25) which aims to automate healthcare insurance denial appeals. His venture focuses on applying AI to solve significant operational inefficiencies in the healthcare sector, helping providers recover lost revenue and streamline administrative tasks. This initiative reflects his commitment to leveraging technology for practical, high-impact solutions in a critical industry. ycombinator+1

His academic background at Carnegie Mellon University, specializing in Computer Science and Machine Learning, is strongly complemented by his active involvement in cutting-edge AI research. He has co-authored significant papers like "Embodied-RAG" and "NavRAG," which explore advanced concepts in embodied AI, non-parametric memory systems, and retrieval-augmented large language models for navigation and generation. This demonstrates a deep engagement with theoretical and applied aspects of AI, contributing to the field's advancements. arxiv+3

Aarav has a track record of innovation and problem-solving beginning from his high school years. As a National Merit Scholar, he co-developed 'Hospifind' during the COVID-19 pandemic to help people find testing sites and available hospital beds, showcasing early leadership and a socially conscious application of his technical skills. This pattern continued into his university studies where his team won the 2025 McGinnis Venture Competition for 'Solstis,' an AI-powered workflow automation platform. patch+3

His professional experience includes software engineering internships at leading technology companies like Palantir Technologies and Parsons Corporation, as well as a development role at Mozilla. These internships provided him with practical experience in deploying data-driven solutions and contributing to open-source projects, further solidifying his engineering capabilities and understanding of industry practices. linkedin