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855princekumar/README.md

A Bit About Myself

I build connected intelligence, systems where hardware, software, embedded logic, and AI meet.

I’m into Product Research & Development with a keen interest in IoT, Embedded Systems, Edge Computing, and AI. I use GitHub as a playground for prototyping, testing, debugging, and evolving my thoughts into real-world solutions.

I love building tools that bridge physical–digital worlds, and I am always open to brainstorming and discussing tech.


Metrics from the Matrix


Areas of Expertise

I’ve worked with these domains, and I’m still exploring with many coffee breaks alongside:

Embedded / Robotics IoT Edge Computing Game Dev / AR-VR AI / CV CAD / CAM Web Dev Database DevOps & Others
ROS Arduino Raspberry Pi Buildroot 8051 AVR PIC ESP RainMaker OpenStack Godot Unity TensorFlow OpenMV OpenCV YOLO OpenSCAD Fusion360 SolidWorks AutoCAD KiCad Proteus PHP Jamstack HTML5 CSS3 Tailwind Bootstrap JavaScript TypeScript ReactJs XAMPP SQLite MySQL Python Go Shell Git Curl C C++ Docker K3s

Current Focus

  • Researching & Experimenting in IoT, Edge AI, and embedded systems
  • Developing Smart Cities, Industrial IoT, and energy-efficient solutions
  • Building & Automating real-world applications that matter

Beyond Work

Other things I love to do:

  • Riding MTB/Bike & exploring nature trails
  • Gaming & AR/VR experiments
  • Vibing to music while debugging code and building DIY electronics

Let’s Connect

I enjoy collaborating on:

  • IoT setups
  • Smart city systems
  • Edge AI inference
  • Embedded R&D
  • Experimental prototypes

Feel free to reach out to exchange ideas or geek out on tech, I’m always open to brainstorming and working on impactful problems.

Email LinkedIn


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  1. streampulse streampulse Public

    Lightweight RTSP/MJPEG stream health monitor for heterogeneous camera networks.

    Python 26

  2. PiStream-Lite PiStream-Lite Public

    One-command RTSP streaming setup for Raspberry Pi 3B+, Pi 4, and Pi 5. USB webcam → H.264 RTSP stream with auto-recovery, systemd supervision, and full rollback support.

    Shell 8

  3. edgepulse edgepulse Public

    Hybrid Memory Optimization & Diagnostics Toolkit for Raspberry Pi used in Edge AI/ML, IoT, Robotics, and Drones

    Shell 2

  4. yawcam-ai-dockerized yawcam-ai-dockerized Public

    Dockerized Yawcam-AI, Edge-ready AI NVR with CPU and CUDA builds, RTSP support, persistent storage, YOLO inference, and EdgePulse optimization.

    Dockerfile 2

  5. EdgeStack-K3s EdgeStack-K3s Public

    Script-driven K3s cluster baseline for edge and in-house micro-clouds, emphasizing OS hardening, deterministic networking, and operational clarity over cloud-scale abstraction.

    Shell

  6. rtsp-kafka-ingestion-template rtsp-kafka-ingestion-template Public

    Dockerized RTSP to Kafka ingestion template with hot-swappable config and production-ready operational behavior.

    Python