About me

I’m a skilled AI engineer with 4 years in computer vision, deep learning, and software engineering. Proficient in Python, PyTorch, LLM, and C++. Experienced in developing AI solutions for object detection, segmentation, and RAG. Additionally, I possess full-stack development skills, excelling in both frontend and backend technologies, and can independently handle the entire process from system architecture design to product deployment. Committed to delivering high-quality, efficient, and innovative solutions. Possessing strong communication skills and a sense of responsibility.

What I'm doing

  • AI Development icon

    AI Development

    Professional development of AI solutions including computer vision and LLM applications.

  • Software Development icon

    Software Development

    High-quality development of software applications using Python, C++, and other technologies.

  • Web Development icon

    Web Development

    Full-stack web development using modern technologies like Vue, Node.js and cloud services.

Technical Skills

  • Programming Languages

    • Python
    • C++
    • JavaScript
    • SQL
    • Vue

  • Frameworks & Libraries

    • PyTorch
    • TensorFlow
    • OpenCV
    • LangChain
    • YOLOv11

  • Tools & Technologies

    • Docker
    • Git
    • Linux
    • Cloud Services
    • RESTful APIs

Resume

Education

  1. Chengdu University of Technology

    Sep. 2020 — Jul. 2023

    Master's in Software Engineering

  2. Changsha University of Science and Technology

    Sep. 2015 — Jul. 2019

    Bachelor's in Vehicle Engineering

Experience

  1. MegaDairy Co - NZ

    Mar. 2024 - Jul. 2024

    1. Knowledge Base Question-Answering System:
    • Designed and implemented an intelligent Q&A system using LangChain-Chachat, improving information retrieval efficiency
    • Single-handedly managed entire project lifecycle, from system analysis and architecture design to core functionality implementation
    • Reduced internal document retrieval time from 3 minutes to under 30 seconds

    2. Automated PDF Label Template Generation Software:
    • Developed Python-based automation software for generating PDF inspection templates for product labels
    • Implemented image processing, text recognition, and automated naming/saving functions
    • Reduced template generation time from 5 minutes to 30 seconds per item, processing over 200 templates monthly

  2. TENGDEN - CN

    Jul. 2023 - Feb. 2024

    1. Airport Runway Segmentation Algorithm:
    • Developed and implemented an EGE-Unet model for high-precision airport runway segmentation, achieving an initial mIoU of 0.971
    • Enhanced model performance through advanced data augmentation techniques, resulting in an improved mIoU of 0.978
    • Optimized the algorithm for production by porting it to C++, reducing inference time by 20% and enabling real-time processing

    2. Web-based Object Detection Data Annotation Tool:
    • Created a web-based data annotation tool for object detection using JavaScript, HTML, and CSS
    • Implemented features for bounding box drawing, label management, and dataset organization
    • Improved annotation efficiency by 40% through intuitive UI design and keyboard shortcuts

  3. Sobey Digital - CN

    May. 2022 - Dec. 2022

    1. Intelligent Editing-Scene Content Recognition:
    • Achieved mAP@0.5 of 93.50% for scene content recognition using YOLOv5s

    2. Intelligent Editing-Specific Objects Recognition:
    • Fine-tuned YOLOv5m on Object365 dataset for specific object recognition, mAP@0.5 of 55.50%

  4. Wangsi Tech - CN

    Jul. 2021 - Apr. 2022

    1. Optical Character Recognition (OCR) for IP Addresses in Images:
    • Implemented accurate text recognition using PaddleOCR, and wrote scripts to filter key information
    • Developed image preprocessing techniques to improve recognition accuracy, and finally packaged it into a Docker image for submission

My skills

  • Computer Vision
    90%
  • Deep Learning
    85%
  • Software Development
    80%
  • Large Language Model
    75%

Portfolio

Blog

Contact

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