Hi, I'm Sahil Bisht

Full Stack Developer specializing in MERN stack development

I build scalable web applications with modern technologies. Experienced in working with early-stage startups like EasyEd and Erino.

View My Work My Resume

React.js

Node.js

MongoDB

Express.js

Work Experience

My professional journey working with early-stage startups and developing innovative solutions.

Erino

SDE Intern

February 2025 - April 2025

Remote

• Built scalable and responsive UIs using React and TypeScript, integrating Material-UI for consistent theming and component design.
• Used TanStack Query and Redux to manage complex client-side state and server caching, improving data consistency and app performance.
• Developed dynamic, data-driven tables with AG Grid, enabling advanced filtering, sorting, and custom rendering for large datasets.

React

TypeScript

Material-UI

TanStack Query

Redux

AG Grid

EasyEd

Full-Stack Developer

January 2023 - July 2024

Greater Noida, Uttar Pradesh

• Orchestrated front-end and back-end development initiatives, leading UI/UX design, API development, and database management tasks; boosted user engagement by 40% through intuitive interface enhancements and optimized API performance for faster data retrieval.
• Led comprehensive code reviews, identified 50+ critical issues, and executed debugging processes, resulting in a 40% reduction in software bugs and enhancing overall application stability and performance.
• Deployed the backend system on Amazon AWS, optimizing for at least 99.99% availability and scalability to handle a minimum of 1000 requests per second.

React

Node.js

MongoDB

AWS

UI/UX

API Development

My Projects

A showcase of my technical projects and applications I've built.

DocuMate

A real-time collaborative document editor similar to Google Docs, utilizing React.js for the front-end and Node.js with Socket.IO for real-time communication and back-end services.

React

Node.js

MongoDB

Socket.io

Docker

• Implemented real-time bidirectional communication with Socket.IO, enabling seamless document collaboration and instantaneous updates across multiple users, which improved collaboration efficiency by 50%.

• Leveraged Docker to containerize the application, ensuring consistent deployment environments and simplifying scaling, which resulted in a 40% reduction in deployment time and increased stability across different environments.

Code Live Demo

Def Call

A specialized video calling platform tailored for deaf and mute individuals, integrating a machine learning model trained on American Sign Language (ASL) to detect and interpret hand gestures.

React

Node.js

Python

Socket.io

Machine Learning

• Utilized Python to develop the machine learning model, React for the front-end interface, Node.js for server-side logic, and Socket.IO for real-time communication, resulting in a 30% increase in processing speed and a 20% improvement in real-time responsiveness.

• Conducted extensive testing and optimization to achieve 95% accuracy in detecting ASL gestures across diverse lighting and environmental conditions.

Code Live Demo