I am currently pursuing my MBA from Cornell University, and come from almost a decade long software developer background. Since the first version of ChatGPT came out, I have been fascinated by how AI is going to impact our everyday experiences. One of my key interests is finding ways to democratize AI-related information, making it more accessible to everyone. This tool is my attempt to bridge the gap between AI's capabilities and the real-world data that drives them. By understanding which locations have richer data sets, we can help users make better-informed decisions about AI-driven insights. Whether it's understanding why an AI model gives better predictions in one city over another, or identifying where data gaps exist, I want to make AI’s impact more transparent to people everywhere.
I am a Connective Media Student at Cornell Tech who is interested in building socio-technical systems. I am currently helping out on a project at Cornell’s Social Technologies Lab to investigate impact of AI on local news, and am excited about the potential of this project to contribute towards a healthier informational ecosystem.
Loves building scalable applications and ensuring seamless front-end and back-end integration.
Expert in data analytics, model training, and ensuring reliable data-driven insights for AI predictions.
Ensuring an intuitive, user-friendly experience to make AI insights accessible and engaging for users.