Master's student in Information and Communication Engineering at Beijing University of Chemical Technology.
I work on LLM applications, AI Agent systems, RAG workflows, model deployment, and remote sensing intelligence.
- Research interests: AI Agent workflows, large language model applications, multimodal understanding, SAR image processing, and remote sensing image registration.
- Engineering focus: Python/C++ algorithm development, FastAPI services, computer vision pipelines, model inference, edge deployment, and full-stack AI demos.
- Recent experience: built and deployed an aerospace target intelligent imaging and recognition system during an internship at the Aerospace Information Research Institute, Chinese Academy of Sciences.
- Current work: building LiquiScope-A, an A-share market liquidity research Agent with tool calling, multi-role analysis, risk review, and report generation.
- Contact:
16699178595@163.com
| Project | What It Shows | Stack |
|---|---|---|
| Salty-LLM-Platform | A full-stack Chinese LLM training and deployment platform, covering TinyLM implementation, Pretrain, SFT, DPO, GRPO, FastAPI inference, and a React web console. | PyTorch, FastAPI, React, SQLite, LLMOps |
| Hello Agent | An AI Agent learning and experimentation project from basic LLM calls and tool registration to ReAct, Plan-and-Solve, LangGraph, AutoGen, and AgentScope multi-agent examples. | Python, ReAct, LangGraph, AutoGen, AgentScope |
| LiquiScope-A | An A-share market liquidity research Agent prototype with market data tools, liquidity indicators, multi-role analyst nodes, risk review, human-in-the-loop confirmation, and research report generation. | Python, LangGraph, FastAPI, Pandas, DuckDB, Tushare, AKShare |
LLM / Agent
Prompt Engineering, RAG, Embedding Retrieval, Tool Calling, ReAct, CrewAI, LangGraph, AutoGen, AgentScope, Human-in-the-loop
Deep Learning / CV
PyTorch, Transformers, PEFT/LoRA, OpenCV, YOLOv5, SAR Image Processing, Image Registration, Object Detection
Backend / Deployment
FastAPI, HTTP API, SFTP, Socket, Linux/Ubuntu, Docker, CUDA, cuDNN, TensorRT, Jetson AGX Orin
Data / Research Tools
Pandas, DuckDB, NumPy, SciPy, Tushare, AKShare, BaoStock, Vector Search, Structured Report Generation
Frontend / Applications
React, Vite, PyQt5, Flask, Streamlit-style AI application prototyping
- Aerospace Information Research Institute, Chinese Academy of Sciences - AI Application R&D Intern - 2025.10 - 2026.01
Built and integrated an aerospace target intelligent imaging and recognition system on NVIDIA Jetson AGX Orin, connecting SAR echo simulation, SAR imaging, YOLOv5 object detection, result export, and PC-edge device communication.
- Beijing University of Chemical Technology - Information and Communication Engineering - M.S. candidate - 2024.09 - 2027.06
- Southwest University of Science and Technology - Information Countermeasure Technology - B.Eng. - 2019.09 - 2023.06
- MCDCA-Net: hybrid convolution and dynamic channel attention network for SAR image registration.
- SAMR-Net: semantic-guided adaptive multiscale registration network for optical-SAR image registration.
- BACF-UNet: improved UNet for vehicle detection in SAR images.
- Change-guided difference interaction attention network for remote sensing change detection.
I keep this profile focused on reproducible AI engineering projects.
Some research code is not public yet because related papers and experiments are still in progress.