Ali Ulusoy
Tech Lead And Manager At Google
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolAli Ulusoy is a tech lead and manager at Google with 13 years of experience building real-time 3D perception and head-tracking systems for Project Starline. He blends deep academic training (PhD in Computer Vision from Brown) with production engineering honed at Microsoft on HoloLens SLAM and surface reconstruction. At Google he leads the head-tracking team while still contributing to camera calibration and novel-view synthesis, bridging research-grade algorithms and large-scale product needs. His open-source contributions include core C++ computer-vision libraries for temporal coherency analysis, reflecting hands‑on expertise in low-level vision systems as well as team leadership. Based in Redmond, he’s comfortable navigating both probabilistic multi-view research and the pragmatic constraints of deployed AR/VR platforms.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Vision, Doctor of Philosophy - PhD Computer Vision at Brown UniversityBachelor of Science - BS, Bachelor of Science - BS at Bilkent University
Stackoverflow
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0reached
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Github Skills (10)
cpp-library10
algorithms10
computer-vision10
c-language10
clib10
lib10
cprogramming-language10
c-libraries10
data-structure9
data-structures9
Programming languages (4)
Github contributions (5)
vxl/vxl
May 2013 - Apr 2016
A multi-platform collection of C++ software libraries for Computer Vision and Image Understanding.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:39 commits, 1 push in 2 years 11 months
Contributions summary:Ali implemented core functionality for analyzing temporal coherency within a region over time, adding new C++ libraries and processes. Their work includes the creation of a `bstm_analyze_coherency_function` class, as well as a corresponding process to analyze the coherency of a region, which involved integrating with an existing cache system. These changes demonstrate an understanding of computer vision algorithms and image understanding techniques.
structure-from-motionunderstandingcppvisioncluster-computing
aliosmanulusoy/Probabilistic-Volumetric-3D-Reconstruction
May 2016 - May 2016
Contributions:35 commits, 43 pushes in 21 days
understandingcppvisioncomputer-visionmulti-platform
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