Personal Information

Felix Chen/Male
Master/Graduated at 2017/East China University of Science and Technology/Computer Science and Technology
Blog: https://chennima.github.io/blog
Github: https://github.com/ChenNima
LinkedIn: https://www.linkedin.com/in/yifei-chen-990199110/
E-mail: fennu637@sina.com / Phone：18918561263

Open Source Projects

Chorus: An Agent harness framework based on AI-DLC methodology that provides Skills, MCP toolsets and task management environment for AI Agents, driving autonomous end-to-end software engineering workflows from Idea → design → task breakdown → implementation → verification
- Claude Code Plugin: Multi-Agent orchestration via Hooks and custom Agent mechanisms, with automatic context injection and independent Agent spawning for task review and quality verification
- OpenClaw Plugin: SSE + MCP dual-channel architecture enabling AI Agents to autonomously detect engineering tasks and drive delivery 24/7

Design and develop AWS-based industry solutions, focusing on healthcare and AI Agent domains

AI Agent Solutions:
- Developed MCS (Marketing & Commercial Set), a multi-Agent knowledge management platform based on Strands Agents and Amazon Bedrock. Built GraphRAG knowledge graph with Amazon Neptune + OpenSearch Serverless for graph-based precise knowledge Q&A and strategy recommendation
- Developed Medical Deep Insights, a configurable Agent platform based on Strands Agents. Rapid Agent and Tool generation via YAML configuration, integrates 15+ external tools, extends capabilities through MCP protocol, deployed on Bedrock AgentCore
Data & Search:
- Developed Medical Insights Hub, featuring million-level glossary real-time matching via OpenSearch Percolate, GenAI-powered professional document translation, with Word plugin integration

Architect, Web development (Frontend/backend), DevOps and data engineer.

Design and develop SAP Concur eFapiao, a fapiao auto-recognition and validation system based on NodeJS and WeChat mini program

DevOps:
- Operating and deploying the project on AWS and Kubernetes
- Service registration and discovery based on Concur customized Istio+Envoy service mesh
Backend development:
- Backend service based on NodeJS and NestJS framework
- Data backend based on AWS distributed database DynamoDB
Data engineering:
- Collecting metrics generated by the running service and integrating with data pipeline via AWS S3 and AWS Kinesis data stream
- Utilizing AWS Glue Job to implement data ETL jobs based on Spark
- Utilizing Grafana and AWS Athena to query and visualize collected metrics data
Machine learning:
- Deploying OCR model based on PaddleOCR to mark unrecognized fields of fapiao images
- Training key information extraction model based on SDMG-R to extract key fields from fapiao images

SAP Jam Collaboration is a collaboration tool based on Ruby on Rails/React.

Led the DevOps team to migrate the project from on-premise data centers to AWS Kubernetes, managing infrastructure and GitOps workflows with Terraform/Helm/ArgoCD
Introduced Consul+HAproxy for service discovery, deployed Istio Service Mesh for canary deployment and traffic monitoring
Collaborated with international teams, supporting around-the-clock DevOps operations across multiple timezones

NodeJS-based SSR service, Golang-based multi-storage file service (S3/Azure Blob/NAS)
BackboneJS → React/TypeScript frontend framework migration

AI/Agent: Strands Agents/Claude Code Plugin/OpenClaw Plugin/LangChain/Amazon Bedrock/MCP/SSE
Web development: TypeScript/JavaScript/Python/HTML/CSS/Webpack/NodeJS
DevOps: AWS/Docker/Kubernetes/Terraform
Web framework: React/Next.js/FastAPI/Vue/NestJS
Data engineering: AWS Athena/AWS DynamoDB