Hi, I'm PtPPPPP 👋

Turning perception, control and intelligence into systems that act in the physical world.

📖 About  ·  🧰 Tech Stack  ·  🚀 Projects  ·  📈 Roadmap  ·  📊 Stats  ·  📫 Contact

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📖 About Me

I'm an Automation Engineering undergraduate focused on the intersection of perception, control, and intelligence — building systems that can see, think, and act in the real world.

My work spans from low-level embedded control up to high-level computer vision and deep learning. I care about the full stack: how a model perceives the world, how a controller acts on it, and how the two meet in embodied intelligence.

• 🤖 Interests — Computer Vision · Embodied AI · Robotics · AIoT · 3D Vision
• 🌱 Currently learning — PyTorch internals · modern YOLO · classical & modern control theory
• 🎯 Goal — Bridge AI research and real-world robotic / agricultural systems
• 📫 Open to — Internships & research opportunities in AI / CV / Robotics / Embodied Intelligence
• ⚡ Fun fact — I enjoy turning a whiteboard full of math into something that actually moves.

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🧰 Tech Stack

Languages AI / Deep Learning </td> <td valign="top" width="50%"> Embedded & Robotics Tools & Platform </td>

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🚀 Featured Projects

🌱 AIoT Smart Greenhouse 天巡地护 · End-to-end smart agriculture platform Edge sensing + computer vision + cloud monitoring for greenhouse management. Sensors stream to an edge node running lightweight inference, with a dashboard for real-time decisions. 🔗 Repository	🍅 YOLOv8 Tomato Detection Agricultural vision · real-time fruit detection A YOLOv8 pipeline for detecting and grading tomatoes — built for fruit counting, ripeness estimation and downstream robotic harvesting. 🔗 Repository
🔬 OCT-UNet / Underwater Enhancement Restoration, segmentation & 3D reconstruction Encoder–decoder networks (UNet-family) for medical OCT and underwater image restoration, extending toward 3D reconstruction of degraded scenes. 🔗 Repository	⚙️ Embedded Control Systems Motor control · sensor fusion · feedback loops Hands-on MCU projects — PID & state-space control, sensor fusion and real-time feedback implemented on STM32 / Arduino hardware. 🔗 Repository
🌐 Personal Blog Documenting my learning journey A personal site to publish notes, project write-ups and ideas — a living log of what I'm building and learning. 🔗 Repository	📬 More Projects Explore the rest of my work Smaller experiments, course projects and demos live across my repositories. 🔗 View all repositories →

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📈 Learning Roadmap

A snapshot of where I am and where I'm headed.

🔄 Now Practicing the foundations Deep Learning with PyTorch YOLOv8 / v11 detection pipelines Classical OpenCV image processing Classical & modern control theory

📅 Next Going from models to systems ROS / ROS2 for robotics Embodied AI & Reinforcement Learning 3D Vision (NeRF / 3D Gaussian Splatting) Model deployment (ONNX / TensorRT)

🔭 Exploring Frontiers I'm curious about SLAM & multi-sensor fusion Sim2Real transfer Diffusion models for control & planning Edge deployment on robots

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📊 GitHub Stats

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📫 Contact

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