David Colmenares
Deep Metrology - Digitizing Humanity
- Role
- Machine Learning Research Scientist at Meta
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About David Colmenares
Computer Vision, Deep Learning, and Robotics Lead Engineer specializing in-Neural rendering, 3D reconstruction, tracking, segmentation using CNNs and Transformers-Multi-camera calibration, stereo matching, structured light, and light field rendering-High-performance computing and GPGU for real-time AR/VR/MR-Design, fabrication, and control of hardware systems and software interfaces-Experimental design, data analysis, signal processing, hardware testing/calibration-Modeling dynamic, electromechanical, thermal systems, aerodynamic.Programming: Python, C++, CUDA, Embedded C, Java.Applications: Visual Studio, git, nvprof, cmake, gcc/gdb, Matlab, LabVIEW, Simulink, Solidworks, FluentTechnical: Pytorch, OpenCV, Camera Calibration, OpenGL, Image Compression (NVEnc), PCL, Motion Capture, DAQ, Machining, and 3D printingProject and Requirements Management: Jira, Jama, Confluence, IEC 60601/62304, Trello
Experience
Machine Learning Research Scientist
Feb 2023 — Present · Redmond, WA, US
Digitally Prototype Your Eye Tracker: Simulating Hardware Performance using 3D Synthetic DataReconstructing Realistic and Relightable Eyes
Education
Carnegie Mellon University
Doctor of Philosophy (Ph.D.), Mechatronics, Robotics, and Automation Engineering
2013 — 2017
University of Washington
Bachelor of Science (BS), Computer Engineering and Bioengineering
2008 — 2013
Skills
- Robotics
- Simulink
- Microscale Manufacturing
- C++
- Viola
- High Speed Video
- Leadership
- Labview
- Hardware Development
- Machining
- C
- Programming
- 3d Printing
- Composite Structures
- Simulations
- Laser Ablation
- Matlab
- Control Theory
- Vicon Motion Capture
- Java
- Python
- Data Analysis
- Solidworks
- Air Particle Image Velocimetry (Piv)
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