Aditya Mehta

I spent this summer at Moda, where I:

• Built Layerize 0→1 (launch, with some cool demos)
• Built evals and observability infrastructure for continual agent improvement:
  • Simulated production environment + trace-to-env + offline evals + LLM-judges
  • Trace intelligence; agent swarms to map-reduce traces to recurring issues

At Caltech:

• I've worked in Georgia Gkioxari's group on benchmarking and post-training multimodal reasoning for LLMs
  Same or Not? Enhancing Visual Perception in Vision-Language Models TWIN · CVPR 2026 · Highlight
• Before that, at the Caltech Vision Lab, I combined classical CV with foundation vision models for unsupervised segmentation of microscopy images
• I've also enjoyed TAing CS 148a (Deep Learning)

Last summer, I was with the quantization team at Encharge AI, a Series B AI chip startup, training ~1B-scale models.