Fu Yuhan

AI Application Developer

LinkedIn

About

Highly proficient LLM Trainer with a strong foundation in deep learning, machine learning, and AI application development, specializing in prompt engineering, RAG, and model fine-tuning. Successfully optimized large-scale models for efficiency and accuracy, leveraging expertise in Python, PyTorch, and LangChain. Recognized for excellent academic performance, multiple national awards, and a proven ability to enhance model understanding and performance in complex domains.

Work Experience

Full Stack Developer

Auth Hero | Remote

May 2025 - Aug 2025

Los Angeles, California, US

Developing workers' compensation insurance portal in both web and mobile app using Next.js and React Native.

LLM Application Developer

Chengdu Yanglugong Tech. | Intern

Feb 2024 - Jun 2024

Chengdu, China

Developed and optimized large-scale model applications, focusing on RAG and Finetune components to enhance algorithmic efficiency and reduce application costs.

  • Engineered and implemented RAG (Retrieval-Augmented Generation) and Finetune components for internal large-scale model applications, encompassing data processing, segmentation, embedding, and LoRA fine-tuning.
  • Designed and optimized large-scale model workflows, achieving measurable improvements in application costs and algorithmic efficiency.
  • Contributed to cutting-edge AI technology research and the reproduction of academic papers, staying abreast of industry advancements.

Education

Artificial Intelligence

Monash University

Sep 2024 - Jun 2026

Courses

  • Deep Learning
  • Machine Learning
  • Project Management
  • Data Mining
  • Multi-Agent Collaboration

Computer Science

Sichuan Normal University

Sep 2020 - Jun 2024

Courses

  • Machine Learning
  • Data Mining
  • Web Development
  • Algorithms and Data Structures
  • Principles of Computer Organization
  • Operating Systems
  • Computer Networks
  • Digital Signal Processing

Projects

Prompt Coder (Product Hunt Product of the day No.10)

SoloMaker

Dec 2024 - Present

A prompt product for vibe-coding, use LLM workflow and OCR fine-tuning.

Safebition LLM

Feb 2024 - Jun 2024

Led the development and optimization of Safebition LLM, an AI model focused on enhancing production safety through fine-tuning, RAG, and iterative performance improvements.

Awards

Innovation and Entrepreneurship Scholarships

Sichuan Normal University

Awarded multiple scholarships for excellence in innovation and entrepreneurship, recognizing contributions to pioneering projects and ventures.

China Undergraduate Mathematical Contest in Modeling (CUMCM) - Golden Award

China Society for Industrial and Applied Mathematics

Recognized for excellent academic performance with multiple awards in various competitions, highlighting strong foundational knowledge and technical prowess.

Languages

English (Proficient) , Chinese (Native)

Skills

AI & Machine Learning

  • Deep Learning
  • Machine Learning
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Model Fine-tuning
  • Large Language Models (LLMs)
  • AI Application Development
  • Natural Language Processing (NLP)
  • Multi-Agent Collaboration
  • Algorithmic Efficiency
  • Model Performance Evaluation

Programming Languages & Frameworks

  • Python
  • JavaScript
  • TypeScript
  • Vue3
  • Flask
  • PyTorch
  • LangChain
  • OpenAI API

Development Tools & Methodologies

  • Git
  • Project Repository Management
  • Workflow Design
  • Full-stack Development
  • Web Development
  • Data Processing
  • Segmentation
  • Embedding
  • LoRA Finetune
  • Coze
  • Dify

Core Computer Science

  • Data Mining
  • Algorithms and Data Structures
  • Principles of Computer Organization
  • Operating Systems
  • Computer Networks
  • Digital Signal Processing