Rishav Hada is an Applied Scientist at Future AGI, working on evaluation and observability for AI systems. Previously, he has worked at Microsoft Research, developing frameworks for evaluating generative AI models and improving language technologies for low-resource and multilingual settings. His research has been funded by Twitter and Meta, published in journals and top-tier conferences such as EMNLP, ACL, and NAACL, and has been integrated into multiple AI products.

Most recently, his work on mitigating bias in language technologies was recognized with the Best Paper Award at FAccT’24. Rishav’s goal is to develop novel evaluation metrics, methods, and tools to address key challenges in AI, ultimately enabling more trustworthy and reliable AI systems.