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Photography Consultant — Filter, A Merkle Company

Feb 2017 – May 2020

Google AI

Google Research post

Provided photography domain expertise to support Google's AI training data initiatives. This work involved evaluating image quality, identifying aesthetic and technical attributes, and contributing to quality assurance pipelines used to train deep learning models for computational photography — work that fed into research on professional-level image generation.

AI/ML Data Analysis Quality Assurance Photography

What I worked on

Through Filter, a Merkle company, I brought photography expertise to Google's work on computational photography — evaluating image quality and identifying the aesthetic and technical attributes that separate a professional photograph from an amateur one. That domain knowledge fed into quality assurance pipelines for the training data used to develop deep learning models.

The research this work supported was later published by Google Research: Using Deep Learning to Create Professional-Level Photographs, which describes a system trained to generate photographs judged comparable in quality to a professional's.