Carlos Torres
Computer Vision DL ML at Actuate
California, United States
Summary
👤
Senior🎓
Top SchoolCarlos Torres is a computer vision and machine learning researcher-engineer with a PhD from UCSB and 11 years of experience building and deploying perception systems for healthcare, robotics, and aerospace applications. He has led research teams and production efforts across startups and industry — from fall-detection and assistive-health sensor networks to satellite/robotic vision at BlackSky and TSA-like autonomy — marrying multimodal sensor fusion with deep learning and classical signal processing. Known for translating academic research into fielded systems, he combines expertise in camera networks, controls, and optimization to solve noisy, real-world data problems. Based in California, he has a unique cross-disciplinary background spanning electrical engineering, bioengineering, and hands-on prototyping, and often integrates non-visual sensors (temperature, pressure, proximity) into perceptual pipelines to improve robustness.
11 years of coding experience
9 years of employment as a software developer
San José State UniversityMaster’s of Science (MS) in Electrical and Computer Engineering (ECE), Signal Processing, Controls, and Machine Intelligence, 3.85 (in a 0-4.0 scale), Master’s of Science (MS) in Electrical and Computer Engineering (ECE), Signal Processing, Controls, and Machine Intelligence, 3.85 (in a 0-4.0 scale) at University of California, Santa Barbara
Spanish, enlgish
Github Skills (21)
object-detection8
pytorch7
ios7
onnx7
machine-learning7
deep-learning7
yolov57
tflite6
coreml6
yolov45
ml4
ultralytics3
yolov83
satellite2
camera2
Programming languages (2)
Github contributions (5)
elmonkey/Python_OpenNI2
May 2015 - Jul 2016
Contributions:77 commits, 76 pushes, 1 branch in 1 year 2 months
elmonkey/multimodal_vrl_camera_net
Jun 2017 - Jun 2018
Multimodal camera network
Contributions:10 PRs, 7 pushes, 9 branches in 1 year
cameramultimodal
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