Ask my AI twin中

About

I'm Huang Yihang, a Master's student in Artificial Intelligence at Monash University (graduating 2026.07), with an undergraduate background in data science. At Sugon I worked as an Agent development intern (enterprise RAG Q&A, multi-agent cross-validation, SFT data QA), and I've also done an AI-product internship — driving the AI-detection rate of an academic-writing tool from 100% down to 10-20%, and owning content growth. On the side, I independently built NoWorries, an open-source desktop AI assistant (three-tier memory architecture + safe execution sandbox + plugin system), and contributed a merged PR to the open-source Agent project OpenClaw, where I forked and rewrote its memory and context-management modules. I believe the best proof that you can actually use AI is shipping something that runs — and this site itself, including the AI twin you're talking to right now, is one of those things.

Skills

Proficient
Agent architecture designMulti-agent collaborationTool Calling / Function CallingRAG / vector databasesPrompt Engineering / CoTPythonMajor LLM APIs (OpenAI / Claude / Gemini / Zhipu / DeepSeek)Dify workflow orchestration
Working knowledge
TypeScript / JavaScriptElectron desktop developmentFlaskPyTorch / TransformersFeishu Open Platform APIGit / GitHub open-source collaborationProfessional working English, written and spoken (PTE 61)
Familiar
JavaMySQL / SQLiteComputer vision

Experience

  1. 2025.12 - 2026.02

    Sugon · Agent Development Intern

    • Built an intelligent HR Agent on Dify (automated resume parsing + multi-dimensional candidate evaluation); stood up an enterprise RAG knowledge-base Agent and tuned the chunking strategy to reach 85%+ answer accuracy
    • Designed three specialized review Agents to cross-validate SFT training items automatically: independent assessment + structured scoring + conflict arbitration, cutting manual-review cost significantly
    • Built an automated QA workflow on Feishu handling prompt validation and multi-table sync for 500+ items a day, shrinking the manual effort from 3 hours to 10 minutes; owned Agent behavior-trace annotation (line-by-line Tool Calling / CoT review)

  2. 2024.11 - 2025.02

    Fantuan (AceEssay AI-detection reduction tool) · AI Product Intern

    • Drove 4 release cycles, building an evaluation framework on the dual Turnitin / GPTZero platforms; brought the core AI-detection metric from 100% down to 10-20%; distilled hundreds of pieces of user feedback into a prioritized backlog (MoSCoW) and pushed features to launch
    • Planned and produced 60+ pieces of content that drove 75K site visits, growing the following from 0 to nearly 30K; lifted the core keyword from #48 to #9, with organic traffic up roughly 3x month over month

  3. 2024.07 - 2026.07

    Monash University (QS 37) · Master of Artificial Intelligence

    • Core coursework: machine learning, deep learning, natural language processing, planning and automated reasoning, multi-agent systems

  4. 2019.09 - 2023.07

    Tianjin University of Technology · Bachelor of Data Science and Big Data Technology

    • Core coursework: algorithm design and analysis, database systems, data mining, data visualization

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