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  1. viditparashar.me/faqviditparashar.me › faq › why-search-engine

    Why is your portfolio a search engine?

    FAQ

    … the true number of matched documents, the timing is measured, and the operators — try stack:langchain or kind:project — actually filter. Add ?explain=1 to any search…

  2. viditparashar.meviditparashar.me › projects › conversational-agents

    Conversational AI Platform — the layer other teams build voice and chat…

    Case studyLive2026

    1 Jul 2026 — … had to sit side by side rather than in separate tools. Built the whole thing: the speech pipeline, the orchestration loop, tool calling, and the operator surfaces…

    • Python
    • TypeScript
    • Next.js
    • Node.js
    • LangChain
    • LLMs
    • +4 more
  3. viditparashar.meviditparashar.me › projects › medscribe

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

    Case studyLive2025

    31 Dec 2025 — … a consultation into a note an EHR will accept. Clinicians spend a large part of every day writing down what just happened in the room. The tools meant to help mostly…

    • 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

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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.