Vidit Parashar

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

• Full-stack and AI Engineer · Ainoviq (Blackngreen)

  Mar 2026 – present

  Full-time

  • Built an AI companion around a full-duplex conversational model, where listening and speaking overlap rather than taking turns
  • Automated the hiring process, sales outreach (Meridian, our human-in-the-loop LinkedIn and email platform) and LinkedIn activity — these have produced real conversions
  • Run internal AI enablement: teaching engineers and non-engineers alike how to get genuinely more out of these tools rather than novelty out of them

• Founding Software Architect · Plato Tech

  Nov 2025 – Dec 2025

  Full-time

  • Built MedScribe's core pipeline — speech-to-text through medical NLP to structured output — and made the architectural calls a seed-stage product has to live with afterwards
  • Developed end-to-end clinical documentation workflows covering SOAP notes, encounter summaries, and patient-friendly visit reports, holding medical terminology accuracy as the bar rather than fluency
  • Worked directly with product and clinical teams to deploy MedScribe for two large hospital chain clients across multi-specialty outpatient workflows

• Software Engineer · HSI Labs

  Aug 2024 – Aug 2025

  Full-time

  • Built four distinct clinical agents on Next.js, LangChain and LLM orchestration frameworks, each with its own tolerance for being wrong and its own escalation path
  • Fine-tuned and deployed language models for real clinical workflows, improving diagnostic assistance accuracy and the quality of structured medical documentation
  • Implemented NLP pipelines that automated clinical note generation and cut physician documentation time by 40% during pilot deployments

Selected projects

• MedScribe — an ambient scribe that turns a consultation into a note an EHR will accept (Plato Tech, seed-stage healthtech, 2025)

  2 hospital chain clients deployed to · 3 clinical document types generated · 2 months from empty repo to hospital deployment

  Next.js, TypeScript, Node.js, Python, LangChain, LLMs, PostgreSQL, AWS

• Clinical Agent Suite — four AI agents for the parts of care that are actually paperwork (HSI Labs, 2025)

  40% physician documentation time saved · 4 clinical agents designed and shipped · 2 academic health systems integrated

  Next.js, TypeScript, Python, LangChain, LLMs, Node.js, MongoDB, PostgreSQL

• Voxa — dictation that learns your words, and an assistant that can see your screen (Own product, 2026)

  95%+ wake-word accuracy · 2 personalisation surfaces · 0 irreversible actions without confirmation

  ElectronJS, Node.js, TypeScript, Microsoft Azure, Azure Functions, LLMs, Deepgram, Whisper

• Conversational AI Platform — the layer other teams build voice and chat agents on (Own product, 2026)

  Python, TypeScript, Next.js, Node.js, LangChain, LLMs, PostgreSQL, AWS

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

• Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV)

  Oct 2021 – Jun 2025

  B.Tech, Computer Science · GPA 8.21 · Bhopal, India

Availability

open to interesting problems.