AI / ML Engineer

Hi, I'm Zach

UC Berkeley EECS graduate with professional and research experience in deep learning, computer vision, and signal processing. I have a passion for building AI systems that solve real-world problems and give us a better understanding of the world around us.

BS EECS, UC Berkeley '25
Zachary Pricz
Projects

What I've built

NeRF: Neural Radiance Fields
Computer Vision 3D PyTorch

NeRF: Neural Radiance Fields

A complete NeRF pipeline for novel view synthesis, representing 3D scenes as continuous volumetric functions learned from multi-view images.

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Diffusion Models & U-Net
Diffusion PyTorch Generative AI

Diffusion Models & U-Net

Exploring generative image models through flow matching on MNIST and creative applications like visual anagrams, hybrid images, and inpainting.

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Poolbot
Robotics OpenCV ROS

Poolbot

A robotic system using a Sawyer arm to autonomously play pool, combining computer vision for ball detection with motion planning for shot execution.

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Instrumental Goal Interpretability
LLMs Interpretability NLP

Instrumental Goal Interpretability

A mechanistic interpretability study investigating how large language models represent and pursue instrumental goals through linear probing and activation analysis.

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PintOS
Operating Systems C Systems

PintOS

An instructional operating system implementing multithreading, synchronization, user programs with system calls, and a file system supporting concurrency.

[Auto]Stitching Photo Mosaics
Computer Vision Image Processing Python

[Auto]Stitching Photo Mosaics

Creating seamless panoramic mosaics through homography estimation, with both manual correspondence and automatic feature matching using Harris corners and RANSAC.

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Frequency Analysis Within Computer Vision
Computer Vision Signal Processing NumPy

Frequency Analysis in CV

Exploring filters and frequencies for edge detection, image sharpening, hybrid images, and multiresolution blending using Gaussian and Laplacian stacks.

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Images of the Russian Empire
Computer Vision Image Alignment Python

Images of the Russian Empire

Reconstructing color photographs from Prokudin-Gorskii's historic glass plate negatives by aligning RGB channels using image pyramids and NCC metrics.

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Contact

Get in touch

Open to all opportunities in AI Engineering, Software Engineering, and MLOps. Feel free to reach out.

zpricz@berkeley.edu `