Strongest fit
- Backend APIs, data-backed business systems and service integration
- OpenAI, RAG, retrieval and tool-based AI workflows
- AI-assisted development with human review and traceable output
- Cloud, Edge and Linux/SSH service delivery context
AI APPLICATION ENGINEER
Backend depth. Applied AI delivery.
A hands-on software engineer working across C#/.NET backends, APIs, system integration and AI-assisted development. Current work centers on OpenAI, RAG, tool workflows and agents that can be reviewed and put to use.
REAL ACTIVITY SNAPSHOT
A visible record of AI-assisted practice.
A personal activity snapshot, included as context for the working habit behind the projects. It is not a product performance claim.
PROFILE
A practical bridge between software depth and AI delivery.
The value I bring is understanding an existing system, connecting the right services, validating a focused idea and leaving behind evidence that another engineer can review.
Delivery scope
A backend-first full-stack integration profile, with recent delivery across AI applications, APIs, Teams Bot workflows, and Cloud/Edge services.
The goal is a clear match between the work requested and the evidence available.
SELECTED EVIDENCE
Work with a visible status.
The examples below distinguish internal services, development use, proof of concept and evaluation-device operation.
01 Local AI and RAG workflowsInternal service · OCR, embeddings, hybrid retrieval and citations In use
Built and validated a private retrieval workflow, then moved useful results into a continuously usable document and knowledge service with separated source boundaries.
02 Repository-aware engineering agentsMCP / AI-assisted development · code review and API documentation Development use
Connected repository, Jira, Confluence and API contract context through tool workflows, producing structured findings and documents while keeping human review for architecture and security decisions.
03 Teams Bot as the daily work entry pointOpenAB, knowledge bases, Jira work, notifications and Jetson / Cloudflare services Internal platform
Contributed to a Teams Bot used as the main daily entry point for users. It supports OpenAB and WEBSC, department, and ISMS knowledge queries, Jira work search, issue and sub-task creation, API or blocker reports, subscriptions, and routed notifications. The Bot connects Cloudflare Workers/Queue with Jetson RAG/Ollama services, so users do not need to operate Jetson or Cloudflare directly.
04 Linux / SSH service operationAdvantech MIC-733AO · logs, storage, resources and service health Evaluation device
Operated internal AI and backend services on an evaluation device through Linux/SSH routines, focusing on service deployment, status checks, and maintenance.
05 AI-assisted legacy modernizationPL/SQL and Pro*C analysis · .NET migration planning Traceable workflow
Used AI-assisted engineering to decompose legacy API work, plan .NET implementation, and keep tests, review checkpoints and blocker evidence visible.
06 Cloudflare POCs and delivery safeguardsCloud / Edge delivery · staging, health checks and rollback follow-up POC / delivery work
Built focused commerce, public-data, education and transit prototypes while checking credential scope, source synchronization, staging exclusions, service health and rollback conditions.
ADDITIONAL RESULTS
2026 ChatGPT Hackathon — Top 10 · AppWorks x ChatGPT Individual Competition — Top 3
TECHNICAL PROFILE
A clear view of the stack.
Area
Hands-on experience
Positioning
AI application
OpenAI API, MCP, tool calling, RAG, OCR, embeddings, citations, agents, structured outputs
Applied integration
Backend
C# / .NET, REST APIs, SQL Server, MySQL, SQLite, business systems and live troubleshooting
Primary depth
Cloud / Edge / ops
Cloudflare, Azure, AWS, Docker, IIS, Linux, SSH and MIC-733AO service operation
Delivery context
Integration
Teams Bot, OpenAB Gateway, Confluence/Jira knowledge integration, APIs and service boundaries
Connects systems
RESUME
A shorter application resume, with evidence on this page.
The public page keeps concise general resumes plus a Chinese version tailored to the Cake AI Agent / LLM opportunity. The PDFs are easy to scan; detailed project context stays on this page.
CONTACT