Portfolio

Engineer + Researcher

Building reliable intelligence from complex systems.

Chun-Yuan Hsu

Master of Science in Data Science student at the University of Michigan building AI agents, backend infrastructure, and applied machine learning systems across production and research environments.

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01 / Experience

Production work, investigated end to end.

TSMC

May 2026 – Present

Digital Workflow Development Department Intern

Hsinchu, Taiwan

Building an AI-agent workflow for structured backend incident investigation across alerts, logs, and metrics.

  • Developed an AI-agent workflow with the Claude Agent SDK to automatically triage backend alerts and generate structured incident-analysis reports.
  • Built integrations to ingest alerts from Alertmanager and retrieve logs and metrics from Kubernetes workloads via ELK and Prometheus.
  • Designed a hypothesis-driven investigation loop that correlates alerts, logs, and metrics to identify likely root causes and summarize actionable findings for engineering teams.
  • Claude Agent SDK
  • Alertmanager
  • Kubernetes
  • Elastic Stack (ELK)
  • Prometheus

QNAP

Jan 2025 – Jul 2025

Backend R&D Internship

Taiwan

Built retrieval and developer-tooling systems, improved a Go service, and diagnosed production reliability problems.

  • Built a retrieval-augmented Jira issue search system using AWS Bedrock and ChromaDB embeddings, increasing developer issue-resolution efficiency by 50%.
  • Developed an MCP-based Jira search server that integrates with IDEs, enabling developers to query and explore issues directly from their coding workflow.
  • Refactored Device Avatar microservices from Python to Go, achieving a 30% performance gain and optimizing deployment on Kubernetes.
  • Diagnosed and patched a critical memory leak in cloud production by correlating Grafana metrics with execution traces.
  • AWS Bedrock
  • ChromaDB
  • MCP
  • Go
  • Kubernetes
  • Grafana

02 / Selected work

Systems that connect research to implementation.

01

Cross-cloud infrastructure research

Lilac

A cross-cloud Infrastructure-as-Code lifting framework that reconstructs Terraform configurations from existing deployments across Azure, Google Cloud, and AWS.

  • Integrated LLMs with symbolic verification to learn resource-dependency mappings from cloud APIs.
  • Evaluated the system on real cloud environments, achieving higher accuracy and coverage than existing tools such as Terraformer while maintaining correctness.
  • Terraform
  • Large Language Models
  • Symbolic Verification
  • Azure
  • Google Cloud
  • AWS
Read project report

02

Interpretable neuroimaging

Toward Interpretable Brain Age Prediction and AD Classification

An interpretable pipeline for brain-age regression and Alzheimer's Disease classification using structural MRI scans from OpenBHB and ADNI.

  • Adapted NeuroVFM, a pretrained 3D vision transformer, to extract patch-level MRI embeddings and aggregate variable-length features with attention-based multiple instance learning.
  • Trained joint classification and regression heads while mapping attention back to clinically relevant brain regions.
  • 0.873 diagnostic accuracy
  • 0.775 macro F1
  • 3.54-year MAE
  • 0.966 R²
  • PyTorch
  • NeuroVFM
  • 3D MRI
  • Multiple Instance Learning
Read project report

03

Visual AI interaction

VizThinker

A graph-based interface for interacting with LLMs that reimagines linear chat as a visual conversation graph.

  • Implemented branching and node-based history navigation to support complex idea exploration.
  • Deployed on Google Cloud Platform with Node.js, React, and Python.
  • Node.js
  • React
  • Python
  • Google Cloud
View live project View source

03 / Toolkit

Tools selected for the problem.

Languages

  • Python
  • C++
  • Go

AI & ML

  • PyTorch
  • AI Agents
  • Claude Agent SDK
  • LLM Integration (AWS Bedrock)
  • RAG (ChromaDB)
  • Embeddings
  • Semantic Search

Cloud & DevOps

  • Docker
  • Kubernetes
  • AWS
  • GCP
  • GitLab CI/CD
  • Prometheus
  • Elastic Stack (ELK)
  • Alertmanager
  • Grafana
  • NATS

Frameworks & Systems

  • Node.js
  • React
  • Linux (Debian, Arch)
  • Git
  • Scrum

04 / More projects

A broader engineering archive.

Jira Issue Search

A retrieval-augmented Jira issue search system using AWS Bedrock and ChromaDB embeddings.

Python · AWS Bedrock · ChromaDB

View source

Issue Search MCP

An MCP server that exposes natural-language Jira query, suggestion, and issue-retrieval tools to coding workflows.

Python · MCP

View source

File Translator

A Gemini-powered tool that translates English PDF documents into Traditional Chinese while preserving layout through generated LaTeX.

Python · Gemini · LaTeX

View source

AZtec Image Comparison

A computer-vision tool for detecting and comparing overlapping patterns in crystallographic pole-figure images.

Python · OpenCV · NumPy

View source

MIPS CPU Architecture

Verilog coursework covering MIPS assembly, an ALU, a single-cycle CPU, and a pipelined CPU with forwarding and stalling.

Verilog · MIPS

View source

OS Nachos

Operating-systems coursework implementing system calls, multiprogramming, virtual memory, and file systems in Nachos.

C++ · Nachos

View source

Advanced Compiler

LLVM coursework implementing data-dependency and pointer-analysis passes and studying array languages.

C++ · LLVM

View source

Quantum Event Identification and Simulation of Quantum Event-Learning Procedures

Python simulations comparing quantum random and blended measurements for quantum event identification.

Python · Quantum Simulation

Read report View source

05 / Education

An interdisciplinary route into computing.

Sep 2025 – Present

Master of Science in Data Science

University of Michigan · Ann Arbor, MI, USA

Sep 2022 – Jan 2025

Master of Science in Computer Science

National Tsing Hua University · Hsinchu, Taiwan

Sep 2018 – Jun 2022

Bachelor of Science in Civil Engineering

National Cheng Kung University · Tainan, Taiwan

06 / Latest writing

Notes from the work.

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Fall End

The End of Fall Semester is approaching.