Pranava Singhal

M.S. Computer Science, AI/ML @ Stanford · B.Tech EE, IIT Bombay '24

I'm an M.S. student in Computer Science at Stanford, specializing in AI. I'm interested in building AI systems that combine research and real-world impact, with experience in multimodal learning, LLMs and agents, and efficient and reliable intelligent systems.

In summer 2025, I interned at Cisco, leading a team to build voice AI agents for Webex, reducing customer support call times. I also deployed RAG-based troubleshooting agents. I'm currently a research assistant at the Lobell Lab, developing multimodal pipelines to map 30k+ global tree species using satellite and ground-level imagery.

I completed my B.Tech in Electrical Engineering with a Minor in AI & Data Science at IIT Bombay, where I explored deep learning for causal inference and tensor factorization methods in signal processing. I've had the privilege to work with professors like Sunita Sarawagi and Ajit Rajwade at IIT Bombay. I also interned at Aalborg University, Denmark, building efficient federated learning systems with professors Petar Popovski and Shashi Raj Pandey.