AI Researcher · AI Application Engineer

Building AI systems from research to real-world delivery.

I focus on agent workflows, RAG pipelines, and production-oriented AI applications.

2 Papers

First-author publications

3 Tracks

Agent systems, 3D optimization, personal RAG apps

End-to-End

From prototype to deployable delivery

Contact Me

Role Fit Snapshot

M.S. in Artificial Intelligence, Jiangnan University (2025)
Strong in AI engineering: LangChain, LangGraph, FastAPI, RAG
Experienced in RL and C++ optimization for 3D systems
Experienced in independently building and deploying full web applications

Quick Info

Name: Chen Chen
Location: Guangzhou, China
Education: M.S. in Artificial Intelligence

Timeline

Research to Product Journey

2018.09 - 2022.06

Hunan Agricultural University

B.Eng. in Information Engineering. Thesis on pedestrian detection with OpenCV.

2022.09 - 2025.06

Jiangnan University

M.S. in Artificial Intelligence. First-author research in cognitive systems.

2025.07 - 2025.11

3D Model Lightweight Agent

Built RL-driven mesh simplification workflows with quality-preserving reduction.

2025.11 - 2026.01

Enterprise Office Agent Platform

Designed enterprise AI workflows for knowledge QA, scheduling, and automation.

Publication

Selected Academic Output

Human Performance in TSP Tasks: Based on Symbolic Cognition

Cognitive Systems Research · First Author · 2025 · JCR Q2

Cognitive Decision-Making in TSP Tasks: The Impact of Line Stylization Features of Point Arrays

Cognitive Science Society Annual Meeting · First Author · 2025 · CCF-B

Execution

Project Proof

Selected projects showing architecture, implementation depth, and measurable outcomes.

Enterprise Office Agent Platform

Nov 2025 - Jan 2026

Built an AI office assistant for knowledge QA, scheduling, CRM, and email workflows.

LangChain LangGraph FastAPI RAG

View Platform GitHub View Live Web

Expand Screenshots

Enterprise Office Agent platform screenshot 1 — Screenshot 1

Enterprise Office Agent platform screenshot 2 — Screenshot 2

Enterprise Office Agent platform screenshot 3 — Screenshot 3

Enterprise Office Agent platform screenshot 4 — Screenshot 4

Show key highlights

Designed orchestration architecture and model-tool pipeline.
Implemented retrieval + tool-calling RAG workflow end to end.
Delivered containerized deployment and regression-tested demo.

3D Model Lightweight Agent

Jul 2025 - Nov 2025

RL system for mesh simplification and remeshing with quality retention.

Show key highlights

C++17 + OpenMP acceleration core with strong runtime gains.
Achieved 60%+ polygon reduction with SSIM > 0.95.
Connected Python training and C++ backend via pybind11.

Personal RAG Assistant

Planned / Iterating

Private knowledge assistant for long-context memory, synthesis, and semantic retrieval.

Show key highlights

Chunking and vector retrieval pipeline with citation traceability.
Conversation memory design for reusable personal knowledge.
Web interface optimized for practical knowledge lookup.

Learning Engine

AI Learning Library

People, projects, and capabilities that shape how I build AI products.

Authors I Follow

Builders with strong research depth and practical engineering output.

karpathy hiyouga langchain-ai rasbt openai

Repositories I Track

Open-source projects that influence my architecture decisions.

langgraph dify autogen llama.cpp open-webui

Capabilities in Focus

Agent skills are reusable prompts/workflows that improve AI execution efficiency.

Tool-use orchestration RAG pipeline design Planning and reflection loops Workflow automation Prompt engineering

Open to AI application engineering opportunities and collaboration.

2755525462@qq.com +86 15574946762 github.com/EZlove4ever