Skip to content
View SergheiBrinza's full-sized avatar

Block or report SergheiBrinza

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
SergheiBrinza/README.md

Serghei Brinza

AI Engineer | Electronics & Mechatronics | Scientific Instrumentation

I design and develop scientific instruments at the intersection of electronics, mechatronics, and artificial intelligence. From circuit design and PCB engineering to neural networks and computer vision — building intelligent systems end to end.

Passionate about bridging the gap between science, engineering, and AI — making complex technologies clear and accessible to everyone.

What I Do

  • Scientific instrumentation with integrated AI
  • Embedded systems & industrial electronics
  • Computer vision & image processing
  • Mechatronics & automation
  • Science & AI engineering outreach

Tech Stack

Python C/C++ FastAPI React TypeScript Docker OpenCV PyTorch Linux Git

Location

Vienna, Austria

Popular repositories Loading

  1. HydrogenEye HydrogenEye Public

    Budget 1420 MHz hydrogen line radio astronomy receiver — RTL-SDR + Raspberry Pi Zero W with real-time spectrum display and Android companion app

  2. SergheiBrinza SergheiBrinza Public

    Config files for my GitHub profile.

  3. 1420MHz-Feed-Horn 1420MHz-Feed-Horn Public

    Feed horn antenna design for 1420 MHz hydrogen line radio astronomy observations

  4. AI-Microscope AI-Microscope Public

    Computer vision and ML principles for optical microscopy — autofocus metrics, illumination analysis, and specimen classification

  5. BioRNG BioRNG Public

    True random number generation from live fish behavior using computer vision and NIST SP 800-90B entropy assessment

  6. VRAM-Pressure-Scheduling VRAM-Pressure-Scheduling Public

    VRAM-aware GPU scheduling for multi-GPU AI workstations — priority preemption, NVLink topology constraints, thermal-aware placement. Theory + production results from 6 months of daily operation.