About

I’m a computer vision engineer in the San Francisco Bay Area. I’m currently at Iron Ox, where we’re optimizing greenhouse farming to make quality produce more accessible. Previously, I spent 5 years at Matterport, making 3d technologies for capturing and visualizing 3d spaces available to everyday users. Before that, I worked at Amazon Lab126, focusing on 3d interfaces and interactions with mobile devices. I received my B.S. and M.S. at UC Berkeley, where I was a member of the Vision and Image Processing Lab.

Click here for a pdf version of my resume

Selected Work Experience

Iron Ox: Staff Computer Vision Engineer (2020 - present)

• Built multi-camera imaging stations to capture thousands of plants in 2d and 3d
• Used 3d plant scans in conjunction with environmental sensors to predict future plant growth for yield and sales forecasting
• Augmented pest management procedures with automatic detection of pests and diseases
• Managed all camera systems and calibration routines for cameras and lidars

Matterport: Staff Computer Vision Engineer (2015 - 2020)

• Trained semantic segmentation models for spherical images (used in Matterport Cortex)
• Developed significant portions of the image processing pipeline, making us competitive for real estate photography (e.g. demosaicing, hdr tonemapping, color constancy)
• Implemented poisson and voxel-based approaches for surface reconstruction and completion
• Sensor/lens modeling, calibration, and live correction for color and structured light systems
• Systems-level design for Pro 1 and Pro 2, including camera architecture, wifi, gps, etc.

Amazon Lab126: Emerging Technologies Team (2013 - 2014)

• Machine learning models for motion gesture recognition on the Fire phone
• Wrote software and ran studies to quantify accuracy and usability of 3d and gesture-based interfaces

Education

M.S. Computer Science, UC Berkeley (2012 - 2013)

• GPA 3.889, High Honors

Management of Technology Program, Haas School of Business (2012)

• 1 year of MBA coursework alongside entrepreneurship projects

B.S. Electrical Engineering and Computer Science, UC Berkeley (2009 - 2012)

• GPA 3.835, High Honors

Academic Research

Video and Image Processing Lab: Dr. Avideh Zakhor (2011 - 2013)

• Generated textured meshes of building interiors using backpack-mounted cameras and lidar
• Trained machine-learning models on generated assets for energy modeling and prediction

Vision Sciences Lab: Dr. Christine Wildsoet (2011)

• Analyzed data from eye-tracking devices to study effect of sunlight on myopia

Publications

IEEE Journal of Selected Topics in Signal Processing (2014)

• Fast, Automated, Scalable Generation of Textured 3D Models of Indoor Environments

SPIE Computational Imaging (2013)

• Texture mapping 3D models of indoor environments with noisy camera poses

Technical Skills

• Languages: C++, Python
• Frameworks/Libraries: OpenCV, PyTorch, ROS, OpenCL, Ceres.