PixLab | Symisc Systems
Machine Learning Engineer at Symisc Systems
Summary
🤩
RockstarPixLab | Symisc Systems is a Machine Learning Engineer with 12 years of experience blending embedded systems engineering and ML on resource-constrained devices. Based in France, they contribute deep technical work to open-source projects like unqlite (an embedded NoSQL transactional engine) and SOD, implementing core database modules and CPU-optimized computer vision primitives for IoT. Their hands-on contributions include core C source and headers for scripting and database APIs, plus embedded image pipelines and CNN/RNN demos for object detection and text generation. Comfortable across low-level back-end systems and ML models, they specialize in making sophisticated algorithms run efficiently on constrained hardware. A less obvious strength is their dual fluency in database internals and embedded vision, which lets them bridge storage, compute and inference in compact deployments.
12 years of coding experience
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
c1710
mask-rcnn10
object-detection10
faster-rcnn10
databases10
computer-vision10
embedded10
machine-learning-algorithms10
c-programming10
c1110
nosql10
image-processing10
database10
n9
rnn-model9
Programming languages (6)
Github contributions (5)
symisc/unqlite
Aug 2014 - May 2022
An Embedded NoSQL, Transactional Database Engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 1 review, 103 commits in 7 years 10 months
Contributions summary:PixLab primarily contributed by creating and implementing source files related to core functionality of the unQLite database engine. They added new features and code, including the implementation of the `api.c`, `bitvec.c`, `fastjson.c`, and `jx9_api.c` files. Further contributions involved creating supporting header files such as `jx9.h` and `jx9Int.h`. These changes focused on providing functionality for the database engine.
database-enginenosql-databasedata-storagestoragepersistent-storage
symisc/sod
Apr 2018 - Sep 2021
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Role in this project:Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:3 releases, 70 commits, 3 PRs in 3 years 5 months
Contributions summary:PixLab primarily contributed to the development of embedded image processing samples using the SOD (Symisc Open Development) library. These contributions included loading, resizing, rotating, binarizing, and applying various image processing operations like erosion, dilation, and edge detection. Furthermore, the user implemented CNN object detection with COCO and Pascal VOC datasets, and demonstrated text generation with RNNs. The commits heavily focused on utilizing the SOD library's capabilities for computer vision and machine learning tasks within an embedded environment.
image-recognitionsifttensorflowopenmmlabimage-filters
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.