About me

I'm Luyao Diana Men, a seasoned software engineer specializing in cloud-native data platforms, infrastructure automation, AI-assisted operational resilience, and security-oriented software systems. My work focuses on transforming complex technical problems into reliable, intuitive, and innovative solutions that help engineering teams understand system behavior, improve platform reliability, and reduce operational risk.

I bring over 11 years of experience across cloud infrastructure, big-data engineering, backend systems, cybersecurity validation, mobile application security, and AI-related research. My professional background spans enterprise-scale environments at IBM, Symantec, and Joyent / Samsung, as well as earlier product-building and entrepreneurship experience. I have worked on distributed data pipelines, platform observability, API automation, benchmark systems, network-protocol validation, mobile application analysis, and secure software workflows.

My current interests center on AI-driven infrastructure resilience: combining data engineering, observability, knowledge retrieval, LLM-based reasoning, and trustworthy agentic automation to support safer cloud operations. Through my technical blog, I write about AI agents, AIOps, Kubernetes, cloud infrastructure, security baselines, and autonomous troubleshooting systems.

What i'm doing

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    Cloud-Native Data Platforms

    Building scalable data pipelines and analytics workflows using Spark, Iceberg, Airflow, and cloud-native infrastructure to support reliable operational intelligence.

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    Intelligent Infrastructure Automation

    Exploring how LLM-based agents, retrieval systems, observability signals, and operational knowledge bases can support incident diagnosis, root-cause analysis, and safer infrastructure remediation.

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    In-Depth Data Analytics

    Using advanced data-processing and analytical techniques to transform large, complex datasets into meaningful insights for system visibility, business decision-making, and risk-aware operations.

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    Backend APIs and Platform Engineering

    Developing backend services, internal APIs, and automation tools that support cloud service orchestration, testing, metering, workflow automation, and platform operations.

  • cyber-security

    Cybersecurity and Application Security

    Applying network-protocol analysis, traffic simulation, automated regression testing, Android application analysis, SDK validation, and reverse-engineering techniques to improve secure software behavior, detection reliability, and application-level protection.

  • artificial-intelligence

    AI and Machine Learning Systems

    Working with machine-learning models, LLM APIs, code-analysis models, retrieval workflows, and AI-assisted reasoning techniques to support intelligent automation, software understanding, and operational decision-making.

Daniel lewis
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Resume

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Professional History

  1. Joyent, Inc. / Samsung

    Data Platform Engineer
    Feb. 2024 - Present

    Developing cloud-native data platform and infrastructure automation systems for managed analytics services. Work includes Spark and Iceberg data pipelines, Airflow workflow automation, Kubernetes-based service integration, observability dashboards, internal APIs, benchmark automation, metering workflows, and AI-agent troubleshooting prototypes for infrastructure diagnosis and operational resilience.

  2. Chuwa America Corporation

    Backend Developer
    Dec. 2023 - Feb 2024

    Worked on backend development practice and project implementation involving Java, Spring Boot, REST APIs, relational databases, and cloud-oriented software development workflows.

  3. University of California, Riverside

    Research Assistant
    Dec. 2022 - Dec. 2023

    Developed research software and web-based tooling for code-difference analysis and machine-learning-assisted software understanding. Work included deep learning models, code representation, frontend/backend implementation, and technical experimentation related to software quality and program analysis.

  4. ZheXin Technology Co. Ltd.

    Senior Risk Control Engineer & Big Data Development Engineer & Android Reversing Researcher
    Sept. 2018 - Jun. 2021

    Built financial risk-control and big-data engineering workflows involving ETL, OLAP modeling, data lineage, quality monitoring, encryption, Redis caching, and automated reporting. Later contributed to Android security and application-analysis workflows, including reverse engineering, automation scripts, SDK maintenance, and secure application validation.

  5. Symantec Asia Pacific Ltd.

    Software Development Engineer
    Aug. 2017 - Jul. 2018

    Contributed to automated protocol monitoring and network-security validation workflows. Work involved traffic analysis, packet inspection, browser and Android traffic simulation, automated regression testing, and reporting workflows to support reliable monitoring and detection behavior.

  6. IBM Global Delivery Co. Ltd.

    IT Specialist
    Nov. 2014 - Jul. 2017

    Worked on enterprise banking, payment, application-maintenance, and site-reliability projects. Contributions included WebSphere MQ messaging, Java / J2EE development, Linux server deployment, DB2 and WebSphere infrastructure support, ETL workflows, Jenkins automation, and support for globally distributed development teams.

  7. Zhihuataniou Technology Co. Ltd.

    Co-founder
    Dec. 2013 - Jan. 2016

    Co-founded a technology venture developing the “Zhima Weight” platform, combining a QR-code-enabled smart electronic-scale product with a WeChat-based web application for measurement records, BMI and body-composition display, historical statistics, user engagement, device management, and merchant-facing service workflows.

education

Education

  1. University of California, Riverside

    Master of Engineering in Computer Engineering

    2021 — 2022

  2. Dalian University of Foreign Languages

    Bachelor of Management in Information Management & System

    2010 — 2014

My skills

  • Cloud & Infrastructure: AWS, AWS Services, Kubernetes, Docker, EKS, EMR on EKS, S3, IAM, Linux, Cloud Networking
    85%
  • Data Engineering & Analytics: Apache Spark, Flink, Iceberg, Airflow, Trino, Superset, Cognos, Kibana, ElasticSearch, Lucene, ETL, SQL, Data Lakehouse
    90%
  • Backend & APIs: Python, Go, Java, TypeScript, C# / ASP.NET, REST APIs, Spring Boot, Flask, Tornado, Microservices, Internal APIs
    90%
  • Front-End & Full-Stack Development: Vue.js, HTML, CSS / Bootstrap, JQuery, JavaScript, Responsive UI, Web Application Development
    75%
  • AI, ML & Agentic Systems: PyTorch, BERT, CodeBERT, LLM APIs, RAG, Prompt Engineering, AI Agents, MCP Security, Knowledge Retrieval
    80%
  • Systems & Performance Development: C, C++, STL, Boost, Linux Systems, Automation Scripts, Performance-Oriented Programming
    80%
  • Observability & Reliability: Grafana, Metrics, Logs, Benchmark Automation, Canary Tests, SLI / SLO Tracking, Operational Dashboards, Incident Analysis
    85%
  • Security & Application Analysis: Wireshark, Fiddler, Charles, Selenium, Android, APK Analysis, Smali, SDK Validation, Traffic Simulation, Protocol Validation
    80%
  • Databases & Messaging: MySQL, PostgreSQL, Redis, Oracle, DB2, MongoDB, SQLite, WebSphere MQ
    85%
  • DevOps & Automation: GitHub Actions, Jenkins, Terraform, Shell Scripting, CI/CD, Automated Testing, Deployment Automation
    85%

Tools

  • Cloud & DevOps Tools: Kubernetes, Docker, GitHub Actions, Jenkins, Terraform, Git, Perforce, Linux, AWS Console, AWS CLI
    85%
  • Data & Analytics Tools: Apache Airflow, Apache Superset, Trino, JupyterLab, Kibana, ElasticSearch, Cognos, Grafana
    85%
  • Network & Protocol Tools: Fiddler, Wireshark, Charles, Packet Inspection, Proxy-Based Traffic Analysis
    85%
  • Testing & API Tools: Selenium, Apifox, Postman, MonkeyRunner, Benchmark Tests, Unit Tests, Regression Testing
    90%
  • Reversing & Mobile Security Tools: IDA, JEB, dnSpy, Apktool, Ghidra, Smali, Android Debugging Tools
    75%
  • Project & Collaboration Tools: Jira, Confluence, Scrum, GitHub, Google Workspace, Technical Documentation
    80%

Blog

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