Suat Gedikli
Data Scientist
Menlo Park, California, Germany
Summary
🤩
Rockstar🎓
Top SchoolSuat Gedikli is a data scientist and computer vision specialist with 15 years of experience applying image processing, probabilistic state estimation, projective geometry and point cloud processing to real-world products and research. He has held senior technical and leadership roles—from CTO and co-founder at Cape Analytics to chief architect and research engineer positions—bridging deep academic training (PhD in computer science from TUM) with hands-on system design. Based in Menlo Park with ties to Munich, he leads projects that move sensor data and photogrammetry from noisy raw inputs to robust, production-ready models and pipelines. An active open-source contributor, Suat has materially improved the widely used Point Cloud Library by refactoring camera handling and correcting coordinate systems, reflecting a focus on maintainable, modular code. He blends startup-scale product focus with long-term scientific rigor, often tackling the messy integration issues that hide behind elegant algorithms. Colleagues rely on him to translate advanced perception research into scalable, deployable systems.
15 years of coding experience
11 years of employment as a software developer
Dr. rer. nat. (PhD), computer science, image processing, prob. state estimation, Dr. rer. nat. (PhD), computer science, image processing, prob. state estimation at Technische Universität MünchenDipl. Inf. (FH), Computer Science, Dipl. Inf. (FH), Computer Science at Hochschule München
Turkish, German, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
pcl10
computer-vision10
point-cloud-library10
c-language10
cprogramming-language10
camera-calibration9
api-design8
Programming languages (1)
Github contributions (5)
PointCloudLibrary/pcl
Mar 2011 - Jan 2013
Point Cloud Library (PCL)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:292 commits, 1 branch, 6 comments in 1 year 10 months
Contributions summary:Suat's contributions center on refactoring and updating the Point Cloud Library (PCL). They removed OpenNI includes and replaced them with local openni_camera implementations, which suggests a focus on modularizing the library and handling dependencies. The user also added features for camera handling, and corrected code to ensure proper coordinate system.
cpppoint-cloud-libraryc-plus-pluscomputer-visionpcl-library
gedikli/caffe
May 2015 - Feb 2016
Contributions:6 pushes in 8 months
deep-learningpytorchcaffemachine-learning
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