# Boris Babenko > Staff Software Engineer at Google (ML, CV) Location: San Mateo, California, United States Profile: https://flows.cv/borisbabenko PhD in Computer Vision and Machine Learning from UC San Diego (in the pre-deep-learning era). Interested in leveraging bleeding edge technology to solve real world problems. ## Work Experience ### Staff Software Engineer @ Google Jan 2018 – Present | Mountain View 2023-present: Using ML for climate and weather modeling 2018-2023: Using ML to discover novel imaging biomarkers (e.g. https://www.nature.com/articles/s41551-022-00867-5). ### Computer Vision / Deep Learning Engineer @ Orbital Insight, Inc. Jan 2015 – Jan 2018 Orbital Insight is developing technology to analyze imagery of the Earth (from satellites, UAVs, etc) at scale using state of the art computer vision and machine learning techniques. * First full-time computer vision engineer at the company, and currently an eng. lead. Spearheaded efforts to grow the team (interview pipeline, sourcing, etc.) up to 7 people. * Built infrastructure to support training and deploying computer vision models: tools and API for managing dozens of datasets, common API and training tools for objection detection and semantic/instance segmentation, data modeling to keep track of models and input requirements for each (resolution, spectral bands, etc.) * Developed computer vision algorithms for a number of products: detecting various types of vehicles, segmenting buildings, measuring amount of crude oil in storage tanks, estimating income levels, etc. Most of these systems were built on top of deep learning / convolutional neural nets. Responsible for developing these systems end-to-end: dataset collection, prototyping / evaluating different algorithms, productionizing them to run at scale. Here's a talk I gave at AAAI'18: https://www.youtube.com/watch?v=HJlYpY7CZqA ### Engineer @ Dropbox Jan 2012 – Jan 2015 Software engineer on the "photo science"​ team (sub­team within photos team that focuses on leveraging computer vision & machine learning to help create a magical photos experience for Dropbox users). * Worked on web front­end and back­end parts of the stack to help launch web photo product (the entire photos team was ~5 people at this time). * Built and launched the first computer vision system at Dropbox (see http://www.wired.com/2014/04/3-ingenious-design-details-in-carousel-dropboxs-new-photo-app/ for some hints of what it involved): collected an annotated dataset, researched and implemented a set of algorithms from the literature, benchmarked against open source and commercial systems, optimized implementation via SSE4, and productionized to run at Dropbox scale. * Spearheaded efforts to grow the computer vision / machine learning team: developed interview pipeline, sourced and evaluated candidates and acquisition opportunities. Team went from two engineers in 2012 to 10 engineers in 2015 when I left. ### Co-founder @ Anchovi Labs, Inc Jan 2011 – Jan 2012 Co-founded a company that built a prototype product for automated scientific image analysis (microscopy, satellite imagery, etc) via combination of computer vision and crowdsourcing. Took this concept through the customer discovery process and eventually pivoted into consumer photo auto-organization. * Went through the NSF ICorps program (via Caltech) and the Summer @ Highland incubator. * Applied for and received an NSF SBIR Phase 1 grant. * Company was acquired by Dropbox in September 2012. ### Computer Vision Consultant @ BioNano Genomics, Inc. Jan 2011 – Jan 2011 Worked on a project related to next-gen sequencing. ### Computer Vision Consultant @ BioImagene Jan 2010 – Jan 2010 ### Software Engineering Intern @ Google Jan 2009 – Jan 2009 Worked on the Google Goggles project: http://www.google.com/mobile/goggles . ### Software Intern @ Honda Research Institute Jan 2007 – Jan 2007 ### Software Intern @ Parity Computing Jan 2004 – Jan 2005 ## Education ### PhD in Computer Science and Engineering UC San Diego ### BS in Computer Science and Engineering UC San Diego ## Contact & Social - LinkedIn: https://linkedin.com/in/borisbabenko --- Source: https://flows.cv/borisbabenko JSON Resume: https://flows.cv/borisbabenko/resume.json Last updated: 2026-04-12