Devin Jiang
Chandler,AZ
Summary
Master of Science student at Arizona State University specializing in Artificial Intelligence and Machine Learning. Proven success in both developing AI-driven analysis systems and modernizing lab automation. Experience includes spearheading an Agentic System(ARC) for Reliability, Failure Analysis and Quality for deep document analysis and various structured data. As well as re-architecting a parametric bench tester with Python, which included implementing live data plotting, automated reporting and analysis, and advanced failure safety system.
Overview
4
4
years of professional experience
Work History
Reliability Physics Engineer I
Microchip Technology Inc.
Chandler, Arizona
10.2025 - Current
- Architected and led development of ARC (Agented Reliability Core), a multi-agent RAG platform built on LangGraph and AWS Bedrock (Claude Sonnet/Opus) that unifies reliability standards, ISTFA papers, ESREF research, and FA SQL reports behind a single conversational interface, using a query router, domain specific ChromaDB vector stores (BGE-M3), and persistent agent memory to automate failure report analysis and cut time to insight from hours to minutes.
- Lead architecture designer and facilitated deployment for an agentic AI tool to extract data from internal PDF qualification reports and generate redacted, customer-friendly reports.
- Spearheaded the modernization of the Reliability Bench Tester by converting the legacy automation system from LabVIEW to Python, which enhanced test throughput, data processing efficiency, code maintainability and modularity.
- Increased Reliability Bench Tester system reliability and usability by implementing a consolidated user interface with live, real-time data plotting and engineering the test sequence to continue uninterrupted even if an individual device fails.
- Designed and Maintain an automated data analysis and reporting tool for Reliability Bench Tester that transforms raw test results into actionable summaries and delivers them directly to stakeholders via Microsoft Teams to enable faster, data-driven decision-making.
- Mentoring an ongoing intern contributing to ARC, guiding them through multi-agent RAG architecture, code reviews, and feature development that shipped to the production platform.
- Co-authored several patent applications, including some integrating novel AI/ML systems with hardware systems.
Reliability Physics Engineer Intern
Microchip Technology Inc.
Chandler, AZ
05.2024 - 10.2025
- Co-authored several patent applications integrating novel AI/ML systems with hardware systems.
- Led the development of an AI-driven RAG system(s), "Smart Search," to analyze reliability documents and ISTFA papers, as well as FA reports for automating failure report analysis to significantly reduce time to insights.
- Architected a future version of Smart Search to incorporate a Multi-Agent and MCP Workflow for advanced summarization and trend plotting capabilities.
- Lead Designer of the architecture for a future AI tool to extract data from internal PDF qualification reports and generate redacted, customer-friendly reports.
- Spearheaded the modernization of the Reliability Bench Tester by converting the legacy automation system from LabVIEW to Python, which enhanced test throughput, data processing efficiency, code maintainability and modularity.
- Increased Reliability Bench Tester system reliability and usability by implementing a consolidated user interface with live, real-time data plotting and engineering the test sequence to continue uninterrupted even if an individual device fails.
- Designed and built an automated data analysis and reporting tool for Reliability Bench Tester that transforms raw test results into actionable summaries and delivers them directly to stakeholders via Microsoft Teams to enable faster, data-driven decision-making.
Education
Master of Science - Artificial Intelligence And Machine Learning
Arizona State University
Tempe, AZ05-2027
Bachelor of Science - Computer Systems Engineering
Arizona State University
Tempe, AZ05.2025
Skills
- Java, C, C, MATLAB, MIPS32, Python, LabVIEW, Nodejs, React Native
- Computer architecture
- Git, Bash, PowerShell, and Linux
- FPGA experience (Verilog) and embedded systems (I2C, SPI, UART, PWM, ADC, GPIO)
- Azure AD, Microsoft Office 365 management
- LLMs, RAG, Generative AI, Gen AI Tools
- Claude, ChatGPT, Gemini
- Google A2A, MCP, AI Agents, Multi Agents
- Scikit-Learn, LangChain, LangGraph, Ollama, LM Studio
- Docker, Kubernetes
- Software QA and Testing
Timeline
Reliability Physics Engineer I
Microchip Technology Inc.
10.2025 - Current
Reliability Physics Engineer Intern
Microchip Technology Inc.
05.2024 - 10.2025
Bachelor of Science - Computer Systems Engineering
Arizona State University
Master of Science - Artificial Intelligence And Machine Learning
Arizona State University