Applied AI engineerPortfolio / Software / Notes
Vedant
Andhale.
Applied AI engineer at agntworks.ai, building enterprise AI systems for
pricing, inventory and revenue intelligence.
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FocusPricing / Inventory / Revenue intelligence
Background & experience ↗Shipment decisions with deterministic rules, an LLM second opinion and a human override history.
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A Python salary-data pipeline with a custom Nuxt parser, HTML fallback and automated batch processing.
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A grape-leaf classifier inside WhatsApp, with English, Hindi and Marathi response flows. Research prototype.
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A Power BI report exploring 75,000+ complaints across products, regions and time.
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One Python call to load local or cloud files into pandas, without repeating file-loading code.
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Practical writing on AI, software, systems and the things I learn while building.
A practical first-year CS guide to DSA, AI, projects, placements, referrals, GATE, internships, and building strong software engineering fundamentals.
Useful log events identify the operation, outcome and correlation context without copying the whole request.
Short engineering notes with enough context to be useful after the original problem has been forgotten.
Let the browser decide when a focus indicator is needed, and keep a visible fallback.
A focused way to build a useful map of a repository without reading every file first.
Units, state and domain meaning make names useful; extra syllables alone do not.
The build contract behind this Hugo portfolio: pinned inputs, explicit environments and generated HTML.
Use keys_unsorted for convenient inspection; use an array when the order is part of the data.
Separate unstaging a file from discarding working-tree edits with git restore.
A practical approach to reproductions, hypotheses and boundary checks when stepping through the process is not available.
Cache keys, stale data and invalidation are part of the result contract, not just performance settings.
TypeScript can narrow checked values, but external JSON still needs runtime validation.
Why this site uses generated pages, with small interactive features added where they help.
Questions to ask before adding a package, beyond whether it saves a few lines today.
An expand-and-contract example for schema changes that must work while application versions overlap.
How to scope a useful internal tool: one input, one outcome, explicit failures and a short path to feedback.