David Chaudhari will be working as a TA for 6.5940 in Fall 2026. He (S.B. '26, MEng '27) is an MEng student in EECS working on efficient ML systems — LLM serving, quantization, and agent efficiency. He spent the summer at Google optimizing the cost and token efficiency of a multi-agent AI debugging system, and previously did research on RL for tool-use agents in Jacob Andreas's lab.