yitumulin's Space
Yitumulin's Space
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@yitumulin
LLM Application • AI Product • Computer Vision • BCI • LLM Application • AI Product • Computer Vision • BCI •
Computer Vision • BCI • LLM Application • AI Product • Computer Vision • BCI • LLM Application • AI Product •
AI Product • Computer Vision • BCI • LLM Application • AI Product • Computer Vision • BCI • LLM Application •
BCI • LLM Application • AI Product • Computer Vision • BCI • LLM Application • AI Product • Computer Vision •
AI Product Builder / LLM Engineer / CV Practitioner
Yitumulin's SPACE
WHO AM I
3 Papers 4 Applied Projects 2 Software Copyrights IELTS 7.0

I study Telecommunication Engineering and Management at Beijing University of Posts and Telecommunications. I focus on LLM application engineering, AI product development, and computer vision, and I care about turning ideas into measurable shipped outcomes.

Core Stack Python, PyTorch, Transformers, LangChain, SQL, Docker, and OpenAI API. I build end-to-end workflows from data preparation and model tuning to deployment and evaluation.

How I Work I drive projects with a product mindset: define the problem and metrics first, prioritize resources, and iterate based on evidence instead of feature noise.

What I Deliver I independently push AI products through key 0-to-1 steps: requirement framing, validation, system build, deployment debugging, and reusable assetization.

Works
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LLM System
MiniMind Full-Pipeline Reproduction
Completed single-GPU full workflow runs across pretraining, SFT, LoRA, and evaluation with checkpoint resume.
LLM Agent
WeClone End-to-End Deployment
Completed local setup, data preparation, fine-tuning configuration, API service startup, and chatbot integration validation.
Internship (LLM/RAG)
China Telecom Quantum | AI Algorithm Intern
Built offline indexing and retrieval-enhanced QA workflow with ChromaDB, MariaDB, and Ollama, then improved answer stability through iterative evaluation and debugging.
Product Build
Shapeville Geometry Education
Built a Java/Swing geometry learning application with staged tasks, scoring feedback, and progress tracking.
Research
BECA Dataset (Scientific Data 2025)
Long-term cattle recognition dataset and baseline verification framework. Built reusable evaluation workflow.