Satya Mallick
Machine Learning Engineer
San Diego, California, United States
Summary
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RockstarSatya Mallick is a Machine Learning Engineer based in San Diego with 14 years of experience specializing in computer vision and AI. He is an active open-source contributor known for practical, hands-on work in C++ and Python—contributions to popular repositories like LearnOpenCV and dlib showcase implementations from facial landmark improvement to head-pose estimation and real-time webcam integrations. Satya blends algorithmic depth with engineering pragmatism, shipping examples and tooling that make complex vision techniques accessible to developers. His background emphasizes image analysis, performance tweaks, and user-facing demos (FPS overlays, display layout improvements) that bridge research and application. Colleagues rely on him to turn vision prototypes into robust, well-documented code. An understated strength is his focus on education-through-code: he often surfaces non-obvious implementation details that accelerate others’ learning.
14 years of coding experience
Github Skills (9)
image-analysis10
computer-vision10
dlib10
machine-learning10
opencv10
c-language10
cprogramming-language10
python10
image-processing10
Programming languages (4)
Github contributions (5)
spmallick/dlib
Dec 2015 - Oct 2018
A toolkit for making real world machine learning and data analysis applications in C++
Role in this project:
ML Engineer
ML EngineerContributions:11 commits, 2 PRs, 10 pushes in 2 years 10 months
Contributions summary:Satya primarily contributed to the `examples` directory, demonstrating expertise in Computer Vision and machine learning. They added functionality to save face landmark data, improved the facial landmark detector's performance, and integrated head pose estimation with a webcam feed. Furthermore, the user integrated FPS display to the webcam output and improved the display layout. The user's work involved modifying and enhancing existing facial landmark detection examples within the dlib library.
data-analysismachine-learningdata-science
spmallick/learnopencv
Feb 2015 - Oct 2021
Learn OpenCV : C++ and Python Examples
Role in this project:Back-end Developer
Back-end DeveloperContributions:379 commits, 199 PRs, 320 pushes in 6 years 8 months
Contributions summary:Satya contributed code to implement examples for OpenCV, focusing on image processing and computer vision tasks. Their commits involved developing and modifying code for SimpleBlobDetector, thresholding, and seamless cloning, showcasing their knowledge of image analysis techniques. They also worked on Non-Photorealistic Rendering techniques and implemented a basic Haar cascade eye detection.
opencv-librarypythondeep-learningopencv3computer-vision
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