Skip to content
View piyushgargog's full-sized avatar

Block or report piyushgargog

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
piyushgargog/README.md

GitHub LinkedIn Vyana


01 — What I Build

I work on AI-powered applications, retrieval systems, and developer tools — with an emphasis on turning experiments into usable software.

  • AI / ML — LLM applications, RAG pipelines, model evaluation
  • Backend Engineering — APIs, databases, system integration
  • Developer Tools — debugging workflows, automation, practical tooling

02 — Selected Work

Vyana

Healthcare · Product Engineering

Healthcare-focused platform built around practical digital workflows.

Explore Vyana ↗

DocuLens

RAG · Document Intelligence

Ask questions about documents using semantic retrieval and configurable LLM providers.

View Repository ↗

TraceFix / Veris-2B

AI Research · Developer Tools

Exploring dataset pipelines, model evaluation, and AI-assisted Python debugging.

Explore Project ↗

More Experiments

Prototyping · Open Source

Building, testing, and refining software across AI and full-stack development.

Browse All Repositories ↗

03 — Technical Arsenal

Languages

AI / Backend / Infrastructure

Web / Tooling

04 — GitHub Activity



Less hype. More building.

Pinned Loading

  1. vyana vyana Public

    Vyana: your health, in one calm place. Prescriptions and reminders, lab reports in plain words, the best medicine prices, hospital tokens and emergency help, with an AI assistant that cites its sou…

    TypeScript 1

  2. DocuLens DocuLens Public

    A Retrieval-Augmented Generation (RAG) tool that answers questions about any PDF you upload, grounded strictly in the document's content with source page citations.

    Python 2 1