AI & Cloud Application Developer, Computer Science Student

Che-Cheng (Reeve) Wu

Connecting cloud platforms, generative AI, retrieval systems, and software engineering to build AI applications that move from research into real-world use.

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About Me

I am a Computer Science student with a strong interest in how artificial intelligence, big data, and cloud-native technologies can be effectively applied in real-world user and enterprise scenarios.

Through my internship and research experiences at Microsoft, Pegatron, and academic labs, I have contributed to the design and development of multiple AI and LLM-driven projects. These experiences have allowed me to build hands-on expertise in cloud integration, AI application development, and cross-system deployment in production-oriented environments.

I am particularly passionate about bridging research insights, engineering quality, and product context—transforming prototypes into practical solutions that are understandable, deployable, and maintainable. Moving forward, I aim to further strengthen my capabilities in AI, cloud, and software engineering, while continuing to explore impactful applications of AI across diverse real-world scenarios.

Education

Building a strong foundation in computer science and intelligent automation engineering, with a focus on AI systems, software development, and real-world applications.

National Taipei University of Technology

Expected Graduation: Jun. 2027

Taipei City, Taiwan

Bachelor's Degree, Department of Computer Science and Information Engineering

Pursuing a strong foundation in computer science while focusing on AI systems, software engineering, and cloud-based application development.

Relevant coursework includes Data Structures, Algorithms, Computer Organization, Operating Systems, and Computer Networks.
Developed hands-on experience in generative AI systems, retrieval pipelines, and full-stack software engineering through research and internships.

Aug. 2020 – Jun. 2025

Taipei City, Taiwan

Associate Degree, Department of Intelligent Automation Engineering

Built a theoretical foundation and practical skillset in intelligent systems development, including machine learning, automation, and embedded systems, with a focus on real-world applications.

Experience

Experience turning technology into usable solutions across enterprise AI adoption, cloud platforms, and research systems.

Industry

Enterprise-focused work across cloud platforms, AI adoption, application integration, and software engineering.

Microsoft

Jun. 2026 – Present

InternshipTaipei City, Taiwan

Cloud Solution Architect Intern

Support enterprise customers in cloud architecture, AI adoption, and solution design across Microsoft Azure and Copilot.

Microsoft

Jun. 2025 – Sep. 2025

ProjectTaipei City, Taiwan

Microsoft Student Expert

Prepared the DevDays Asia 2025 student workshop and designed the Next Big AI Student Zone booth experience.

DevDays Asia 2025 Official Website

digitimes.com.tw

Jun. 2024 – Sep. 2025

InternshipTaipei City, Taiwan

Research and Development Intern

Explore Azure AI capabilities and develop practical AI applications.

Pegatron Inc.

Jul. 2023 – Aug. 2023

InternshipTaipei City, Taiwan

Software Engineer Intern

Developed an LLM-powered Text-to-SQL application for factory database interaction.

Academic

Applied AI research across retrieval systems, urban intelligence, and autonomous navigation, with attention to deployability and real-world data.

National Science and Technology Council (NSTC)

Jul. 2026 – Present

ProgramTaipei City, Taiwan

Undergraduate Researcher

Conducted research on "Automated Penetration Testing and Task Planning through LLM-Based Multi-Agent Collaboration" under the NSTC College/University Student Research Project.

Research Center for Information Technology Innovation, Academia Sinica

Sep. 2025 – Present

Part-timeTaipei City, Taiwan

Research Assistant

Research RAG system design and uncertainty-aware information retrieval using LLMs.

MIT City Science Lab @ Taipei Tech

Sep. 2023 – Feb. 2026

Part-timeTaipei City, Taiwan

Research Assistant

Research applications of LLMs and agentic AI in urban data analysis.

National Science and Technology Council (NSTC)

Jan. 2024 – Dec. 2024

ProgramTaipei City, Taiwan

Research Assistant

Investigate LLM-based approaches to indoor UAV navigation and obstacle avoidance.

Community

Technical education, student outreach, and career-development programs.

Amazon Web Services (AWS)

Dec. 2024 – Present

ProgramTaipei City, Taiwan

AWS Educate Cloud Ambassador – Tech

Led cloud and AI learning experiences for students and developers through AWS Bedrock, OpenSearch, and AI Practitioner workshops.

2025 AWS Educate Taiwan AI Practitioner Certification Sprint Course

youtube.com

Nov. 2024 – Jun. 2025

ProgramTaipei City, Taiwan

Campus Ambassador

Planned and executed career development activities, helping students and job seekers understand LinkedIn's career resources and opportunities.

SITCON Student Computing Annual Conference

Oct. 2024 – Mar. 2025

CommunityTaipei City, Taiwan

Agenda Team Member

Contributed to agenda planning and coordination for a student-led computing conference.

SITCON 2025 Official Website

sitcon.org

National Taipei University of Technology Student Association

Aug. 2021 – Jul. 2022

ClubTaipei City, Taiwan

Chairperson of Central Election Commission

Led campus election affairs and coordinated election operations for student self-governance.

Selected Projects

The projects span AI reasoning, cloud integration, data workflows, and application development.

AutoPentest

Full-stack AI Security Platform2026 – Present

Built an automated penetration-testing platform where users create test sessions and an LLM-driven Planner / Operator plans tasks, invokes Kali Linux tools, tracks task graphs and real-time events, then generates findings and reports.

Full-stack DevelopmentReactTypeScriptAPI IntegrationAgentic AICybersecurityAutomation

Weave

AI CLI ToolSep. 2025 – Present

Built a Gemini-powered CLI tool that transforms PDF lecture slides into structured Markdown handouts, using two-pass analysis, smart image embedding, and coverage verification to preserve charts, formulas, footnotes, and details, with multilingual output and PDF export.

PythonCLI DevelopmentDocument ProcessingMultimodal AIGenerative AIAutomation

DevDays Asia 2025 Azure Student Workshop

Microsoft Azure Workshop ProjectJun. 2025 – Sep. 2025

Designed hands-on Azure AI content for the DevDays Asia 2025 student workshop, guiding participants to build end-to-end AI prototypes with Azure OpenAI and Azure AI Services / Cognitive Services while learning the cloud-based generative AI development workflow.

Microsoft AzureCloud AIGenerative AIMultimodal AIAPI IntegrationPythonWorkshop Design

AWS Educate Chiikawa AI Workshop

AWS Educate Workshop ProjectJan. 2025 – Apr. 2025

Designed a workshop for building a LINE Bot with AI Agent + RAG concepts, guiding learners to provision AWS resources with IaC, create an Amazon Bedrock Agent and Knowledge Base, and integrate AWS services into a deployable romance-themed chatbot.

AWSCloud ArchitectureGenerative AIAgentic AIRAGServerlessInfrastructure as Code

Autonomous UAV Navigation System

LLM-Driven Indoor UAV Navigation SystemFeb. 2024 – Feb. 2025

Built an indoor UAV navigation platform that lets users guide drones with text or voice commands in GPS-denied spaces, integrating RTAB-Map VSLAM, YOLOv5 obstacle detection, and a ReAct-style LLM agent for task planning and recovery.

LLM ApplicationsRoboticsAutonomous NavigationVSLAMRTAB-MapYOLOv5Agentic AI

Lazy Diffusion

AI Application DevelopmentJun. 2024 – Oct. 2024

Built an image-generation prompt assistant combining LLMs, RAG, and LINE Bot interaction to guide users through high-quality prompt writing, with integration to a self-hosted Stable Diffusion API.

PythonBackend DevelopmentLLM ApplicationsRAGAPI IntegrationImage GenerationLine Bot

Research & Publications

Research papers and technical reports across generative AI, retrieval systems, urban intelligence, and simulation.

Workshop Paper2025

Democratizing Multi-Granularity Spatio-Temporal Intelligence with Multi-Agent Systems

Che-Cheng Wu*, Syuan-Bo Huang*, Yu-Lun Song, Po-Han Lin, Michael Chia-Liang Lin, Yu-Ta Lin

GeoGenAgent '25: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Generative and Agentic AI for Multi-Modality Space-Time Intelligence

Propose a multi-agent system that combines a DGGS data pipeline, H3-indexed cells, shared memory, reflection modules, and human-in-the-loop validation to make multi-granularity spatio-temporal analysis more accessible for non-experts.

Multi-Agent SystemsSpatio-Temporal AnalysisUrban Intelligence

Technical Report2025

CFDA at TREC 2025 Retrieval-Augmented Generation Track (RAG)

Che-Cheng Wu, Po-Jen Ko, Chuan-Chun Tseng, Shao-Hua Wu, Pei-Ju Hsieh, Li-Yang Chang, Ming-Feng Tsai, Chuan-Ju Wang

34th Text REtrieval Conference (Retrieval-Augmented Generation Track)

Develop a structured RAG system combining hybrid retrieval, query decomposition, and hierarchical citation to improve evidence recall and answer faithfulness. Demonstrate competitive performance in retrieval quality and factual coverage on the TREC RAG benchmark.

Retrieval Augmented Generation (RAG)Natural Language Processing (NLP)Evaluation

Conference Paper2025

Semantic Clustering and Visualization of Citizen Reports for Enhanced Urban Decision-Making

Yu-Ming Chang, Che-Cheng Wu, Chung-En Tsern, Yu-Lun Song, Syuan-Bo Huang, Wei-Chu Chen, Michael Chia-Liang Lin, Yu-Ta Lin

The 19th International Conference on Computational Urban Planning and Urban Management

Develop an automated framework for analyzing and visualizing citizen report data to support government decision-making. Apply embedding, clustering, and UMAP to uncover patterns, with LLM-generated summaries and interactive visualizations for spatio-temporal analysis and efficient urban management.

Urban IntelligenceSemantic ClusteringData Visualization

Conference Paper2025

Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation

Yu-Lun Song, Chung-En Tsern, Che-Cheng Wu, Yu-Ming Chang, Syuan-Bo Huang, Wei-Chu Chen, Michael Chia-Liang Lin, Yu-Ta Lin

The 19th International Conference on Computational Urban Planning and Urban Management

Integrate large language models with agent-based modeling to simulate realistic urban mobility. Generate diverse populations and personalized routes to capture individual and city-scale behaviors, enabling actionable insights for urban planning.

Urban MobilityAgent-Based ModelingLLM Simulation

Awards & Honors

Selected academic honors and competition awards.

111-2, 112-1, 114-1

Academic Excellence Award

National Taipei University of Technology

Received the academic excellence award across three semesters: 111-2, 112-1, and 114-1.

2024

1st Place | GenAI Stars

GenAI Stars

Won first place in a generative AI competition, reflecting hands-on work in AI application development.

2023

2nd Place | Goldsmith Award: Programming

Gjun Computer Goldsmith Award

Received second place in the Python programming category.

Skills & Technologies

Technical skills across AI, cloud platforms, and software engineering, with a focus on practical application and integration.

AI & Machine Learning

RAGLLM AgentsPEFTLangGraphLangChainLlamaIndexTensorFlowPyTorchScikit-learnOpenAI SDKGeminiHugging Face

Cloud & DevOps

AzureAWSGCPDockerGitCI/CD

Software Engineering

PythonC/C++TypeScriptReactFlaskPostgreSQLMongoDBLinux

Get in Touch

Feel free to reach out about ideas, collaborations, interesting opportunities, or just to chat.

reeve0319@gmail.com

GitHub

@ReeveWu

reeve-wu