Siddharth Yayavaram

I'm currently pursuing a Master's in Natural Language Processing and Machine Learning at Carnegie Mellon University (GPA: 4.25/4). 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, evaluation, and culturally aware machine learning systems. Recently, I worked on GameDevBench, a benchmark for evaluating agentic capabilities through game development, which was accepted to ICML 2026.

For my undergraduate thesis, I worked with 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 using speech data (IEEE IS 2024), post-training language models for idiom classification (MWE-UD @ LREC-COLING 2024), and depression detection.

I am currently looking for full-time Machine Learning Engineering, ML Research, and NLP Research roles, starting December 2026. Feel free to reach out if you think I'd be a good fit!

syayavar@cs.cmu.edu  /  CV  /  LinkedIn  /  GitHub

Publications

* indicates equal contribution / co-first authorship

Template from Jon Barron.