I'm an AI Engineer passionate about TinyML and deploying Ai models into Embedded systems. I combine my knowledge of hardware and software to build efficient, real-time AI systems, and I’m preparing for my Master’s in Mechatronics Engineering.
- 🔭 I’m currently working on TinyML projects with model optimization (pruning & quantization) for edge devices.
- 👯 I’m looking to collaborate on AI/ML, embedded AI, and robotics projects.
- 🤔 I’m looking for help with optimizing AI models for constrained hardware and real-time applications.
- 💬 Ask me about Python, PyTorch, TensorFlow, TensorFlow Lite, ONNX, RKNN, TensorRT, TinyML, YOLO, ByteTrack, DeepSort, OpenCV, Langchain, Langgraph, ROS, Linux, and hardware-software integration.
- 📫 How to reach me: LinkedIn | Email | Upwork
- ⚡ Fun fact: I enjoy turning AI research into tiny, efficient applications that run on real hardware.
Languages & Tools: Python, C++, Machine Learning, Deep Learning, PyTorch, TensorFlow, TensorFlow Lite, ONNX, RKNN, TensorRT, OpenCV, YOLO, ByteTrack, DeepSort, TinyML, Arduino, Raspberry Pi, Orange Pi, Jetson Nano
Areas: Hardware, TinyML, Model Pruning & Quantization, LLMs, Edge AI, Computer Vision, Real-time AI, Robotics, Autonomous Systems, Model Deployment
“Bridging hardware and AI to deliver efficient, real-time intelligence on the edge.”