@tarinisunil

tarini suunill

@tarinisunil

Small, practical AI utilities for structured content workflows

Delhi, IndiaJoined April 2026

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Practical AI Experiments for Contentai-content-utilties.hashnode.dev4 posts

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Why Document Parsing Is Harder Than It Looks

6d ago · 4 min read · Most document parsers flatten everything into plain text. But real-world documents are messy: inconsistent headings broken bullet lists repeated sections tables missing structure I wanted to se

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From One Shot to a Pipeline: Evolving DOCX → JSON (V1 → V2)

Apr 27 · 7 min read · Why change what works? A common first version of “turn this Word file into JSON” is simple: read the text, send all of it to the LLM once, parse JSON back. It ships fast and works on small docs. In pr

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From Word to JSON: A First-Pass DOCX Pipeline with an LLM

Apr 23 · 5 min read · v1 experiment: extract text from Word, ask a model to structure it, then validate the result. Nothing fancy yet — and that is the point. Why this exists Word documents are easy for people to write and

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Why I’m Building Practical AI Utilities for Content

Apr 15 · 2 min read · I’ve spent the last 15 years building customer-focused engineering solutions, mostly around content systems and structured data. A big part of my work has been solving real-world problems—messy inputs

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tarini suunill

About

Available for

tarini suunill's blogs

Recently published

Why Document Parsing Is Harder Than It Looks

From One Shot to a Pipeline: Evolving DOCX → JSON (V1 → V2)

From Word to JSON: A First-Pass DOCX Pipeline with an LLM

Why I’m Building Practical AI Utilities for Content

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tarini suunill

About

Available for

tarini suunill's blogs

Recently published

Why Document Parsing Is Harder Than It Looks

From One Shot to a Pipeline: Evolving DOCX → JSON (V1 → V2)

From Word to JSON: A First-Pass DOCX Pipeline with an LLM

Why I’m Building Practical AI Utilities for Content