Veer Mehta is an Undergraduate AI Researcher at the University of California, Berkeley, where they study Computer Science & Data Science at the UC Berkeley College of Computing, Data Science, and Society. Veer previously attended Dhirubhai Ambani International School. With approximately two years of experience, Veer is currently seeking full-time work. Their preferred contact method is email, and they only prefer introductions if they are warm.

AI/Agentic

Projects include applying normalizing flows and neural network architectures to cosmological datasets. Other tactical work involves developing XGBoost models for satellite-derived algal bloom detection using Sentinel-2 remote-sensing data and building CNN and TinyML pipelines for real-time water-pollution detection. These implementations utilize Python, TensorFlow, and model quantization for deployment to resource-constrained devices.