About me
Hey there! ๐ Iโm Arnav, pursuing my masterโs in CS at Stanford with a passion for ML and AI research. My areas of research exploration encompass a diverse spectrum of ML/AI concentrations including LLMs, NLP, Systems ML, and RL.
Research ๐
NLP Research
- Lead contributor to DSPy under the mentorship of Stanford Ph.D. candidate Omar Khattab within the Stanford NLP group.
- Supervisory guidance from Professor Matei Zaharia and Professor Christopher Potts.
- DSPy Paper
- Accepted to the NeurIPS 2023 Workshop R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation Models
- Accepted to the Twelfth International Conference on Learning Representations (ICLR 2024)
- DSPy Assertions
Systems ML Research
- Collaborated on the PORT research project under the mentorship of Ph.D. candidate Shishir Patil at the UC Berkeley Sky Computing Lab.
- Supervisory guidance from Professor Joseph Gonzalez.
Hybrid Robotics Research
- Engaged in research on the Quadrotor drone project under the mentorship of Ph.D. candidate Zhongyu Li at the UC Berkeley Hybrid Robotics Research group.
- Supervisory guidance from Professor Koushil Sreenath.
Internships ๐
- Databricks Research Scientist intern (2024 spring-summer)
- Amazon: Software Development Engineering intern (2023 & 2022 summers).
- Corsair: Beta Software intern (2021 summer-fall).