Skills

My core expertise is computer vision and on-device AI — detection, tracking, and recognition that runs fully offline on phones. Around it: 5+ years of Flutter, embedded firmware (STM32/ESP32), and a decade of taking products from prototype to mass production.

AI & Computer Vision

  • Python
  • YOLO (Object Detection & Tracking)
  • OpenCV
  • TensorFlow / TFLite
  • ByteTrack & Multi-Object Tracking
  • Embedding-based Recognition & Similarity Search
  • On-Device AI (fully offline inference)
  • Real-time Video Processing in Flutter

Mobile Development

  • Flutter (5+ years experience)
  • Dart
  • Android & iOS Deployment
  • Platform Channels (Native ↔ Flutter integration)

Embedded Systems & IoT

  • Kendryte K210 (AI edge computing), STM32, ESP32 Microcontrollers
  • C / C++ Firmware Development
  • Motion Control Algorithms
  • BLE / Wi-Fi Communication
  • Sensor & Motor Integration

Web Development

  • PHP (10+ years experience)
  • Laravel / Custom Frameworks
  • HTML5, CSS3, JavaScript (ES6+)
  • MySQL, PostgreSQL

DevOps & Deployment

  • GitHub/GitLab CI/CD Pipelines
  • Docker
  • AWS/Digital Ocean
  • Firebase

Other Tools & Platforms

  • Figma (UI/UX Prototyping)