Pablo Speciale
Scientist at Microsoft
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolPablo Speciale is a Scientist at Microsoft’s Mixed Reality & AI Lab in Zürich with 15 years of experience bridging academic research and production-ready computer vision systems. He holds a PhD from ETH Zurich and a strong background in 3D reconstruction, scene understanding, SLAM and augmented reality, with multiple top-tier publications. At Microsoft he drives applied research that moves advanced geometric vision and AR prototypes toward real-world impact, collaborating across research and engineering teams. His open-source contributions include documentation and build-system improvements to widely used projects like Ceres Solver and PoseLib, reflecting a practical focus on reproducibility and cross-platform tooling. Originally from Argentina, he brings a rare mix of theoretical rigor and hands-on engineering—from minimal solvers and convex optimization to build automation—that helps close the gap between research and deployable systems.
15 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Vision and Robotics, Master's degree, Computer Vision and Robotics at VibotLicentiate degree, Computer Science, Grade Point Average (GPA): 9.23 / 10 (2nd best GPA of 2011), Licentiate degree, Computer Science, Grade Point Average (GPA): 9.23 / 10 (2nd best GPA of 2011) at Universidad Nacional de RosarioDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zurich
Github Skills (12)
cross-compiling10
c-language10
cmake10
cprogramming-language10
build-automation10
compile10
documentation10
sphinx10
lib9
librarian9
manage9
software-packaging8
Programming languages (17)
Github contributions (5)
PoseLib/PoseLib
Mar 2020 - Jul 2022
Minimal solvers for calibrated camera pose estimation
Role in this project:
Back-end & Build Engineer
Back-end & Build EngineerContributions:2 releases, 70 reviews, 19 commits in 2 years 4 months
Contributions summary:Pablo primarily contributed to the project by setting up the build system using CMake. They added features like installing the library with CMake and using the `find_package()` command. They implemented options for shared/static libraries and build types. The user also introduced CMake registry and build scripts for diverse platforms, demonstrating expertise in build automation and cross-platform compilation.
camerasolverscomputer-visionpose-estimationestimation
ceres-solver/ceres-solver
Mar 2013 - Sep 2013
A large scale non-linear optimization library
Role in this project:Technical Writer
Technical WriterContributions:12 commits, 1 comment in 5 months
Contributions summary:Pablo's commits primarily focused on improving and expanding the documentation for the Ceres Solver library. These changes included correcting errors, updating the documentation regarding the use of Ceres with CMake, adding details on static and shared library linking, and correcting a label. The user also added copyright notices to certain files. The contributions enhanced the clarity and usability of the Ceres Solver documentation.
structure-from-motiontrust-regionnonlinear-optimization-algorithmsc-plus-plusnonlinear-least-squares
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