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HeoJeongyoon/README.md

Jeongyoon Heo

I build practical AI and data systems with a focus on what their outputs actually justify.

Information Systems student building AI and data products that turn ambiguous problems into testable, decision-support workflows.

Selected Work

Financial Bottleneck Analyzer

Operational signals → modeled financial exposure → analyst-defined scenarios

ReleaseGuard

Fragmented beta-test evidence → structured, traceable review decisions

Linxol

Multimodal evidence → structured feedback → semantic evaluation

How I Build

Problem → Structure → Working System → Evaluation → Decision / Business Impact

Current Interests

  • Applied AI
  • Workflow automation
  • Decision-support systems
  • AI evaluation and reliability

Pinned Loading

  1. financial-bottleneck-analyzer-case-study financial-bottleneck-analyzer-case-study Public

    Decision-support case study on turning operational signals into evidence-bound financial scenarios.

  2. releaseguard-product-case-study releaseguard-product-case-study Public

    Product case study on turning fragmented beta-test evidence into structured, traceable review decisions.

  3. linxol-multimodal-feedback-case-study linxol-multimodal-feedback-case-study Public

    Multimodal AI case study on building and evaluating a testable iPad feedback pipeline with the OpenAI Responses API.

    JavaScript