Hi, I am Rishav! 

My work centers on applying Natural Language Processing (NLP) to build solutions that drive real-world impact. I focus on helping organizations leverage AI to gain actionable insights into human behavior, communities, and decision-making. By integrating NLP into enterprise systems, I create scalable, responsible AI tools that address complex challenges while maintaining transparency and fairness. My approach emphasizes working with interdisciplinary teams to translate cutting-edge research into practical, business-oriented applications that solve societal problems.

Currently, I’m an Applied Scientist at a stealth AI startup, where I’m building LLM-powered agents that help enterprises analyze large-scale structured and unstructured data. My work involves creating intelligent agents that integrate seamlessly with various platforms and provide actionable insights through natural language queries. These agents are designed to improve decision-making by turning complex data into easily understandable outputs for business applications.

Previously, as a Research Fellow at Microsoft Research India, I collaborated with Dr. Kalika Bali and Dr. Sunayana Sitaram on various projects. I led research focused on mitigating gender bias in language technologies, particularly for Indian languages, earning the Best Paper Award at FAccT'24. My contributions also extended to the development of tools for evaluating generative AI models across multiple languages, ensuring these technologies are equitable and robust.

Before joining MSRI, I was a Research Assistant at Maastricht University, working on a Twitter-funded project to measure the health of social media conversations. I helped develop and operationalize metrics for viewpoint diversity as part of an interdisciplinary research team. I also completed my MSc. in Artificial Intelligence at the University of Amsterdam, where I wrote a thesis on Conversation Modeling in Offensive Language Detection.

If you’re interested in my work, looking to collaborate, or need advice for MS/internship applications, feel free to reach out!