🎯 AI & Edge Computing Engineer | Real-time Inference | Computer Vision | Smart Manufacturing
I'm an R&D engineer passionate about bringing AI models into the real world — fast, efficient, and embedded.
I specialize in:
- 🧠 AI model optimization for real-time inference (TFLite, ONNX, TensorRT)
- 📷 Computer vision: detection, segmentation, and sensor fusion
- 🧩 Integration of smart algorithms on edge devices (Jetson, Raspberry Pi, microcontrollers)
- 🏭 Industrial applications: digital twin, smart monitoring, signal processing
My goal: turn high-level AI into scalable, real-world solutions.
- Languages: Python, C++, Bash
- Frameworks: PyTorch, TensorFlow, OpenCV, Scikit-learn
- Edge Tools: TensorRT, TFLite, ONNX, OpenVINO
- Deployment: Docker, MQTT, OPC UA, Linux
- Hardware: NVIDIA Jetson, Raspberry Pi, ESP32, industrial sensors & cameras
- 🔬 Real-time composite resin infusion monitoring with AI + Digital Twin
- 📐 3D CAD
↔️ camera image matching for visual inspection - 🧪 Signal-based anomaly detection using thermocouples
- 📦 Lightweight AI pipelines for embedded systems
LLM Assistance
Check out my pinned projects below 👇 or explore my repositories to see what I’m working on!
Thanks for visiting!
Feel free to reach out or star any repo that catches your interest ✨