viditparashar.me/faqFAQ

Is your experience only in healthcare?

Most of it, yes — that is a real narrowing and worth knowing. What it bought is that clinical software teaches you to design for being wrong, and that transfers to anything where a confident mistake has a cost.

The current work is voice agents rather than clinical, and my own projects are a desktop assistant and a résumé tool. But if you want someone with five years of e-commerce, that is not me.

Related results

  1. viditparashar.meviditparashar.me › projects › clinical-agents

    Clinical Agent Suite — four AI agents for the parts of care that are…

    Case studyShipped2025

    31 Aug 2025 — four AI agents for the parts of care that are actually paperwork. A great deal of clinical time goes on work that is administrative rather than medical: writing the…

    • 40%physician documentation time saved
    • 4clinical agents designed and shipped
    • 2academic health systems integrated
    • Next.js
    • TypeScript
    • Python
    • LangChain
    • LLMs
    • Node.js
    • +2 more
  2. viditparashar.meviditparashar.me › projects › medscribe

    MedScribe — an ambient scribe that turns a consultation into a note an…

    Case studyLive2025

    31 Dec 2025 — … part of every day writing down what just happened in the room. The tools meant to help mostly produce transcripts, and a transcript is not a clinical note — it has no…

    • 2hospital chain clients deployed to
    • 3clinical document types generated
    • 2 monthsfrom empty repo to hospital deployment
    • Next.js
    • TypeScript
    • Node.js
    • Python
    • LangChain
    • LLMs
    • +2 more
  3. viditparashar.meviditparashar.me › experience › hsi-labs

    Software Engineer at HSI Labs (Aug 2024 – Aug 2025)

    Full-timeAug 2024 – Aug 2025

    31 Aug 2025 — Designed and built a suite of AI healthcare agents — medical scribe, patient intake, clinical decision support and medical coding — and the NLP pipelines behind them.…

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Vidit Parashar

Full-stack and AI engineer

I build AI features for domains where a confident wrong answer costs something — mostly clinical software and voice agents.

Gurugram, India · IST (UTC+5:30) · viditsharma818@gmail.com · @viditparashar96 · in/vidit-parashar-056707225 · viditparashar.framer.website

Summary

I have spent the last two years putting large language models into production rather than into demos. Most of that has been healthcare — an ambient scribe that turns a consultation into an EHR-ready note, and a set of clinical agents deployed into university health systems — where the interesting problem is never the model, it is what the system does when it is unsure.

Experience

Selected projects

Technologies

AI and LLM systems
LLMs, LangChain, LLM orchestration, NLP pipelines, Model fine-tuning, Speech to text, Full-duplex voice, Agent orchestration, Workflow automation, Screen understanding
Languages
TypeScript, JavaScript, Python, SQL, HTML, CSS, Java
Frontend
React, Next.js, Tailwind CSS, Redux, Redux Toolkit, Zustand, ShadCN, Material UI, NextUI, Styled Components, Bootstrap, GSAP, ApexCharts, Recharts, PWA
Backend and APIs
Node.js, Microservices, Socket.io, Azure Functions, Prisma, Mongoose
Databases
PostgreSQL, MongoDB, NoSQL
Infrastructure and tooling
Microsoft Azure, AWS, Docker, CI/CD, Git, Vercel, Firebase, Appwrite, Vite, Webpack
Mobile and desktop
Swift, SwiftUI, iOS (native), ElectronJS, React Native, Ionic

Education

Availability

open to interesting problems.