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
Chengdu, China
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Intern
Summary
Developed and optimized large-scale model applications, focusing on RAG and Finetune components to enhance algorithmic efficiency and reduce application costs.
Highlights
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
Awards
Innovation and Entrepreneurship Scholarships
Awarded By
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
Awarded By
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.