Some things about me:

• I’m currently a dual-degree student at the University of Pennsylvania, pursuing computer science and business through the Jerome Fisher Management & Technology (M&T) program.
• My research focuses on natural language processing, machine learning interpretability, and evaluation methodologies, with work published at ACL, EMNLP, NeurIPS, and IEEE.
• I love creating [research, software, solutions]. Research is special because it lets you push the boundaries of human knowledge at scale.
• I see engineering as the art of solving constraints. I view research as the art form of discovery, and life as the ultimate optimization problem.
• I’m passionate about the intersection of AI safety, interpretability, and real-world applications.

Some things I’m interested in:

• Machine learning interpretability and AI safety. Understanding how models work internally is crucial for building trustworthy AI systems.
• Natural language processing, especially in reasoning, evaluation, and meta-evaluation. I want to understand how language models think.
• The intersection of business and technology. Building products that scale and create real value.
• Rock climbing and swimming. I like optimizing for both mental and physical challenges.
• Learning from people who see beauty in their craft. I am interested in understanding the deep patterns that connect different domains.
• Cultural exploration and languages. Currently trilingual in English, Hindi, and Spanish.

Check out my publications, projects, and thoughts on building the future of AI.