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Add work section to CV; install ImageMagick in CI to generate responsive WebPs
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.github/workflows/broken-links-site.yml

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"giscus.repo": "${{ github.repository }}",
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"baseurl": ""
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}
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- name: Install ImageMagick 🪄
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run: |
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sudo apt-get update
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sudo apt-get install -y imagemagick webp
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- name: Install and Build 🔧
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run: |
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pip3 install --upgrade jupyter

.github/workflows/deploy.yml

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valueFile: "_config.yml"
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propertyPath: "giscus.repo"
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value: ${{ github.repository }}
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- name: Install ImageMagick 🪄
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run: |
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sudo apt-get update
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sudo apt-get install -y imagemagick webp
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- name: Install and Build 🔧
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run: |
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pip3 install --upgrade nbconvert

assets/json/resume.json

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"summary": "Study on improving LLM debugging through prompt engineering techniques. Evaluated few-shot learning and chain-of-thought approaches on GPT-3.5, revealing limitations in current debugging capabilities."
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}
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],
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"work": [
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{
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"name": "Adobe",
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"position": "Machine Learning Engineer Intern",
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"location": "San Jose, CA",
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"startDate": "2026-05-01",
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"endDate": "2026-08-01",
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"summary": "Incoming",
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"highlights": []
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},
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{
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"name": "CMind",
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"position": "Data Engineer Intern",
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"location": "Remote",
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"startDate": "2025-05-01",
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"endDate": "2025-08-01",
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"highlights": [
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"Built a LangChain-based RAG prototype over an internal analytics DB (chunking, embeddings, FAISS indexing/retrieval, LLM answer synthesis) with metadata filters and notebook/API utilities.",
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"Designed CEO-speech trait metrics and an auto-evaluation pipeline with custom rubrics, achieving Fleiss' κ of 0.89–0.91 against human annotations."
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]
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}
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],
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"projects": [
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{
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"name": "LLM Prompt Recovery",

assets/pdf/Resume.pdf

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