BIVEK NEPAL

• Took ownership of architecture and stack planning for production-grade applications
• Led backend system design and technical direction for services built with Rust (Actix) and/or TypeScript
• Defined and drove scalable system designs, translating product requirements into technical solutions across teams
• Led code reviews, architectural discussions, and mentored engineers to enforce best practices and maintain code quality
• Collaborated with product, design, and infrastructure teams to make technical trade-offs and deliver scalable features

• Developed reusable React components and container implementations using RSBuilder and Redux-Saga, improving front-end modularity and maintainability.
• Implemented backend services using Rust Actix, ensuring high performance and reliable API endpoints.
• Collaborated with cross-functional teams to integrate front-end components with backend APIs, following best practices in clean code and component-driven development.
• Participated in code reviews and debugging, enhancing code quality and system reliability.

• Built and maintained scalable, reusable UI components using React and Next.js across multiple product features.
• Collaborated with developers to integrate REST APIs and implement dynamic routing and server-side rendering using Next.js.
• Diagnosed and resolved UI bugs, enhancing cross-device responsiveness and performance with Tailwind CSS and modular design principles.

Developed and hosted a full-featured agro tourism booking platform at https://thumkeraniagrotourism.com.np/ using the MERN stack. The website allows visitors to explore Thumkerani’s offerings and book their stays directly. Admins can view and manage bookings, confirm reservations, track visitor details, and generate detailed sales reports. Added CDN for optimized image display in the gallery section with proper caching setups

MongoDB

Express

React

Node.js

Built a fullstack violence detection system using React for frontend and Flask for backend to process video uploads and analyze frames in real time. Designed and trained a CNN model with MobileNet to detect violent activity with high accuracy.

React

Flask

CNN

MobileNet

Python

🏆 2nd place at Koshi Yantra 3.0

Developed a real-time communication platform using the MERN stack with Flask-based ML integration. Implemented JWT authentication for secure login and enabled two-way interaction: audio-to-text conversion and live webcam-based sign language recognition.

MongoDB

Express

React

Node.js

Flask

Built a robust Node.js/Express backend for a real-time event ticketing system. Implements JWT authentication, role-based access, transactional booking with hold/confirm flows using MongoDB transactions, concurrency-safe ticket inventory management, and Redis-backed caching and rate limiting for high throughput. Includes comprehensive services, validation, and automated tests.

Node.js

Express

MongoDB

Redis

Jest

Languages

JavaScript

Python

Java

Rust

PHP

Frontend

HTML

CSS

React

Next.js

Tailwind CSS

Backend

Node.js

Express.js

Flask

Rust (Actix)

Laravel

Tools

Git

Docker

Linux

Practices

2nd Position

Koshi Yantra 3.0

Project Demonstration

1st Position

Codewar

Intra College Hackathon