Who is Shishir Shrivastava?

Shishir Shrivastava is a Full Stack Engineer based in Indore, India, with a backend focus. He builds web platforms end to end: the interface, the API behind it and the deployment. He is a 2× Smart India Hackathon National Winner and a Gold Medalist in Computer Engineering.

Where is Shishir Shrivastava based?

Shishir Shrivastava is based in Indore, Madhya Pradesh, India. He works on-site in Indore and remotely across India and worldwide.

Where does Shishir Shrivastava work?

He is currently a Full Stack Engineer at Robro Systems in Indore (from July 2026). Before that he worked at Unjob.ai, THDC India Limited, Botmartz IT Solution, Mobiweb Global Solution and Mittal Alliance.

What is Shishir Shrivastava's tech stack?

TypeScript and JavaScript with React and Next.js on the front end; Node.js on the back end; PostgreSQL and MongoDB for data; React Native with Expo for mobile; Docker, AWS and Vercel for deployment.

Is Shishir Shrivastava available for hire?

Yes. He is open to freelance projects, contract work and full-time engineering roles. Email shishirshrivastava30@gmail.com or message him on LinkedIn (https://linkedin.com/in/shishirshrivastava2405). Typical response time is 24 to 48 hours.

What awards has Shishir Shrivastava won?

He is a two-time Smart India Hackathon National Winner (2024, Ministry of Power; 2025, ISRO), a Hack the Mountains 5.0 track winner, and a Gold Medalist in B.E. Computer Engineering at IES IPS Academy, Indore.

Can Shishir Shrivastava build mobile apps?

Yes. He builds cross-platform apps with React Native and Expo, and has shipped an e-commerce app to the Play Store.

How do I contact Shishir Shrivastava?

Email shishirshrivastava30@gmail.com, or message him on LinkedIn (https://linkedin.com/in/shishirshrivastava2405), X (https://x.com/Shishir_2405) or GitHub (https://github.com/Shishir2405).

HealVerse – Shishir Shrivastava

HealVerse is an AI-driven remote healthcare monitoring platform that combines IoT sensors, AI-assisted analysis, and a web application for remote health monitoring. The project evolved from its earlier name, SwasthyaLink, and focuses on collecting health data from connected devices, processing the information, and presenting it through a healthcare dashboard.

Details

Role

Fullstack Developer & System Designer

Client

Hackathon Project

Duration

1.5 months

Year

2025–2026

Stack

Next.js
TypeScript
Python
Prisma
Arduino
IoT
Hugging Face

Visit project Source

Challenge

The system needed to combine realtime sensor data, healthcare monitoring, AI-assisted analysis, doctor-patient interaction, and emergency access into one usable platform. The challenge was connecting physical IoT hardware with software services while maintaining a practical healthcare workflow.

Solution

The system uses ESP32-based sensors and healthcare devices to collect information such as heart rate, SpO2, ECG, pulse, and temperature. A Python and Hugging Face processing pipeline handles incoming data and analysis, followed by automated alerting and a Next.js/Prisma dashboard. Arduino Cloud APIs provide connectivity between the hardware and software ecosystem.

Results

The platform provides realtime health monitoring, automated alerting, healthcare dashboards, doctor-patient interaction, and emergency-access capabilities. The project demonstrates how IoT, AI, and web technologies can be combined for remote healthcare monitoring.

Features

Real-Time Health Monitoring: Connected sensors collect health information such as heart rate, SpO2, ECG, pulse, and temperature and make the data available for monitoring.
AI-Assisted Health Analysis: A Python and Hugging Face based processing pipeline is used to process incoming health data and support automated analysis.
Automated Alerting: The system processes incoming health information and provides automated alerts when relevant health conditions require attention.
Healthcare Dashboard: A Next.js and Prisma based dashboard provides an interface for viewing and working with collected healthcare information.
Doctor-Patient Interaction: The platform supports doctor-patient interaction and remote consultation workflows.
Emergency Access: The original SwasthyaLink implementation included NFC-based emergency access to relevant health information.
Multilingual Support: The earlier SwasthyaLink implementation included multilingual support for improving accessibility.

Process

Research & Development

Studied the requirements for remote healthcare monitoring, device integration, doctor-patient interaction, and emergency access.

Healthcare workflow
Device integration
UI/UX planning
Emergency access prototype

Sensor Integration

Connected healthcare sensors and developed the data flow required to transfer sensor information into the software platform.

ESP32 integration
Sensor data streams
Realtime data handling
Arduino Cloud integration

AI & Backend Pipeline

Created the processing layer for incoming healthcare information using Python and AI tooling.

Python processing
Hugging Face integration
Automated analysis
Alerting pipeline

Frontend Development

Developed the healthcare dashboard and application experience using Next.js and TypeScript.

Healthcare dashboard
Prisma integration
Realtime monitoring
Doctor-patient workflows