Hello, I'm Siddharth Yayavaram.
I'm currently pursuing a Master's in Natural Language Processing and Machine Learning at Carnegie Mellon University. I earned my Bachelor's in Computer Science from BITS Pilani, graduating as the Institute Gold Medalist (Rank 1) with a GPA of 9.97/10.
My research spans multimodal AI, LLM agents, and culturally aware machine learning systems. For my undergraduate thesis, I collaborated with CMU, where I was fortunate to work with Professor Graham Neubig, Simran Khanuja, and Michael Saxon to build a system that augments vision-language models with information from a multilingual, multicultural knowledge base, improving performance on scoring images for cultural relevance. This work was accepted to CEGIS @ ICCV 2025 and EACL 2026 (main conference).
My prior research has explored machine learning applications in mental health, leveraging speech data, as well as post-training language models for tasks such as idiom classification and depression detection.
I'm always excited to collaborate on AI and NLP research. Feel free to reach out if you're interested in working together or discussing ideas!