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I help robotics teams make ROS 2 systems easier to run, observe, and debug. My background is in software engineering, and I focus on the engineering layer around robot applications: reproducible Docker environments, Python ROS 2 nodes, web dashboards, runtime logs, rosbag2/MCAP data, and practical diagnostics. I work best on clearly scoped tasks such as: Building or fixing ROS 2 Docker and Docker Compose environments Creating Python (rclpy) nodes for Topics, Services, Actions, Parameters, TF2, and rosbag2 Connecting ROS 2 to FastAPI, REST APIs, WebSocket services, or web applications Building lightweight robot dashboards for live status, task progress, logs, and recordings Adding structured logging, runtime health checks, and MCAP recording workflows Diagnosing communication issues involving DDS discovery, containers, ROS domains, QoS, or missing transforms A recent project I built is a local ROS2 Web Gateway: a FastAPI and WebSocket bridge with a Next.js dashboard. It observes live ROS 2 joint state, starts and cancels allowlisted Actions, shows runtime logs, and manages MCAP recordings through Docker Compose. My approach is practical and transparent: I first reproduce the issue, identify the smallest reliable fix, document how to run it, and leave the project easier for your team to maintain. Typical deliverables Clean Dockerfile / Docker Compose setup Python ROS 2 nodes and launch files FastAPI or WebSocket bridge APIs Web dashboard for robot status and tasks rosbag2 / MCAP recording and replay workflow README, runbook, and debugging notes If you have a ROS 2 integration issue, a container problem, or need a small but useful robot-facing web tool, send me your current setup and expected behavior.

10+ years of front-end / full-stack development experience; proficient in high-concurrency architecture, engineering, performance optimization, and 0-to-1 product delivery Author of open-source project ArtPlayer.js; used by Baidu, Binance, Bybit and global platforms Skilled in: NuxtJs, NextJs, React, Vue, React Native, AI Agent, MCP, NodeJs, ExpressJs, browser media processing Led front-end architecture and team management for online education, fintech, high-concurrency real-time systems

* Concentrated on development of computer software for 30+ years, have rich experience in multiple fields, includes LLM, Machine Learning, video processing, mobile apps, big data, cloud computing, database, 3d rendering, web, embedded device, etc. * Familiarity with LLM technology, such as LangChain, LangGraph, AgentScope, vector db, openwebui, dify, GraphRAG. Be familiar with deploying RAG system with a selectable LLM e.g. Qwen3-7b to compose generative results, milvus as vector db to store embedding data, openwebui pipeline as doc extractor, provided a offline doc import workflow, and a friendly smart chatbot UI. * Familiarity with all kinds of application development, such as Windows desktop, Mac desktop, Android app, iOS app, embedding Linux, STM32, QT, etc. * Familiarity with RTK eg. High-precision satellite positioning system (GPS / BD / Glonass / Galileo), PID control algorithm, Path planning, SLAM（Simultaneous Localization and Mapping), Kalman filter, etc * Familiarity with cloud native computing, docker / docker-compose, K8S, Helm * Familiarity with shell script such as Bash, Windows Batch * Familiarity with most of popular coding language, such as C/C++, Python, Java, C#, Golang, PHP, Javascript/Typescript, Ruby, etc.

I design and build advanced workflows for image, video, and audio generation using the latest models such as Flux, WAN, Hunyuan, Stable Diffusion, and beyond. I’m constantly exploring new releases and testing cutting-edge techniques to stay ahead of the curve. I have a high-performance setup with an RTX 5090 at home, where I develop, fine-tune, and train models locally, giving me a unique advantage for rapid experimentation and optimization. Beyond generative AI, I bring strong expertise in full-stack development and DevOps. Leveraging high-performance languages like Rust, I can deliver everything from RAG systems to complex CRM platforms with multiple moving parts. I also build custom Docker images ready for deployment on platforms like RunPod, Vast.AI, and others, ensuring production-ready scalability. I’m very active on GitHub and maintain multiple open-source projects. In addition, I have won many hackathons where generative AI was the main focus.

Results-driven Full Stack Developer with 12 years of specialized expertise in interactive 360° media development, particularly in creating captivating panoramic tours and seamless video streaming solutions. As a top-level expert in KRpano, I excel in end-to-end customization of immersive experiences, demonstrating exceptional proficiency in developing plugins and tailoring functionalities to meet precise project requirements. My skill set includes modern web technologies such as React, TypeScript, Next.js, Node.js, and Tailwind CSS, along with substantial experience in WebGL through React-three-fiber for advanced 3D web applications. Additionally, I am well-versed in essential tools like Git, Vercel, and FFmpeg, and possess strong non-development skills, including image processing, video editing, and panorama stitching, ensuring the delivery of polished and innovative multimedia solutions.