Ozge Whiting
CTO, Co-founder at EQLabs, Inc.
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolOzge Whiting is a CTO and co-founder with 13 years of industry experience and a PhD in Computer Vision from Brown, specializing in building production AI systems for complex visual and sensor-driven workflows. She has led ML and computer vision teams at biotech and industrial-inspection startups, architecting cloud-native platforms that autonomously monitor and act on microscopic and aerial imagery. Her work spans end-to-end systems—from low-level C++ vision libraries (contributions to the long-running vxl project) to scalable AI Engines that drive automated cell manufacturing and robotic asset inspection. A pragmatic product-minded researcher, she has repeatedly translated government and academic-grade algorithms (DEM generation, multiview stereo, change detection) into operational software and commercial offerings. Based in Cambridge, MA, she blends deep technical authorship with founder-level strategy in stealth-stage ventures. An implicit strength is her track record of delivering reproducible, production-ready pipelines that close the loop between perception and physical actuation.
12 years of coding experience
22 years of employment as a software developer
PhD Engineering - Computer Vision, PhD Engineering - Computer Vision at Brown UniversityMS Computer Engineering, MS Computer Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Github Skills (8)
computer-vision10
algorithms10
c-language10
lib10
cprogramming-language10
image-processing10
data-structure9
data-structures9
Programming languages (1)
Github contributions (2)
vxl/vxl
May 2013 - May 2017
A multi-platform collection of C++ software libraries for Computer Vision and Image Understanding.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:121 commits in 4 years
Contributions summary:Ozge appears to be contributing to the development of C++ computer vision libraries, focusing on image understanding and processing. Their work involves implementing new classes and methods, particularly related to image descriptor indexing, matching, and building a ground plane from DEM images. The user is also creating and updating documentation, improving existing tools.
structure-from-motionunderstandingcppvisioncluster-computing
andyneff/vxl
Feb 2016 - Apr 2016
A multi-platform collection of C++ software libraries for Computer Vision and Image Understanding.
Contributions:4 pushes in 2 months
structure-from-motionunderstandingcppfeature-detectionvision
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.