Hi, I am
Prabhu Gurung
Full Stack
AI | Web
Developer
Passionate Full Stack Web & AI Developer, I bring a depth of expertise shaped by years of building innovative, scalable solutions that blend technical precision with user-focused design. I excel in developing robust applications, RESTful APIs, and seamless UI/UX, while integrating AI to solve complex, real-world challenges. Driven by passion and curiosity, I continuously explore emerging technologies to deliver high-quality, impactful digital experiences.
About Me
I'm a Full-Stack Developer and aspiring AI Engineer from Nepal. I'm driven by the thrill of solving complex problems and constantly seek out new challenges and opportunities to grow.
I’m passionate about turning ideas into impactful digital experiences, bringing together creativity, code, and innovation to make technology feel seamless and intuitive.
Currently, I’m deepening my expertise in Artificial Intelligence and Machine Learning, with a mission to harness their potential and make AI accessible to everyone.
Here are some of the technologies I've been working with recently:
- JavaScript (ES6+)
- TypeScript
- React
- Ionic
- Node.js
- Php
- Laravel
- Firebase
- Python
- Golang

Where I’ve Worked
Sr. Full-stack Developer @ ReadyToWork
MARCH 2022 – JAN 2025
- Utilized a diverse set of technologies like Express, Nodejs, Go, Gin, React, PHP, Next.js, Python for web app development, delivering high-quality, user centric applications like Betting web app, HRMS, Job portal, Health app, and eCommerce, PWA site for international clients.
- Implementing an optimized frontend CI/CD workflow using CircleCI and GCP resulted in a 40% performance improvement and a 25% cost reduction, significantly accelerating build and deployment times across all company projects.
- Extensive experience with Google Cloud Platform (GCP) services, including WAF, Firebase, Cloud SQL, App Engine, Compute Engine, Cloud Run, Container Registry, IAM, Load Balancer, Cloud Storage etc. Proficient in using CI/CD tools such as Docker, GitHub Actions and CircleCI.
- Led multiple project planning, system design, and implementation for various software development projects, including acting as Team Lead for 2 web app projects and Co-Lead for 5+ projects.
- Empowered team members by conducting thorough code reviews, effectively delegating tasks, providing assistance with technical issues, and ensuring adherence to quality standards and deadlines.
- Proficient in Unit, Integration, and E2E testing (Cypress) with over 90% test case coverage to ensure robust software reliability.
Go
Express
Nodejs
Go
Gin
React
PHP
Next.js
Python
Ionic
Nextjs
Php
GCP
Some Things I’ve Built
Featured Project
MNIST Digit Recognizer using MLP Nueral network
MNIST Digit Recognizer developed using MLP Neural Network. The project is built with a FastAPI backend and a ReactJs frontend using Vite. It allows users to draw digits on a canvas, which are then recognized by the MLP model. The application is hosted on Firebase, providing a seamless user experience.
- Python
- FastAPI
- ReactJs
- Vite
- MLP Neural Network
- Numpy
Featured Project
GBP USD Forecasting Neural Network Model
Neural Networks (DNN, RNN, LSTM, CNN+LSTM) were designed and evaluated for GBP/USD forecasting. Python and TensorFlow/Keras were employed, with the process involving temporal feature extraction, data scaling, and Hyperband tuning. The top-performing RNN model, achieving strong metrics, highlights skill in building and optimizing deep learning solutions for real-world financial prediction.
- Panda
- Python
- Scikit-learn
Featured Project
Hotel Management PWA app
A progressive web app (PWA) designed for efficient hotel room management, tailored for small-scale businesses in Lakeside, Pokhara, Nepal. This multi-platform solution ensures seamless operation across devices, providing an intuitive interface for booking management, room availability tracking, and customer check-ins/checkouts.
- React
- Firestore
- Typescript
- Redux
Featured Project
Attendance Management System by Face Detection
A Computer Vision-based Attendance System with face registration and recognition via CLI and GUI. Supports webcam/image input, attendance tracking, and test evaluation. Built with multi-threading and MVC for scalability. Includes test datasets, SQLite storage, and accuracy metrics. Run via main.py (GUI) or main-cli.py (CLI).
- Python
- PyTorch
- PyQt5
- SQLite
- MTCNN
- DeepFace
- OpenCV
- Retina Face
- Numpy
Other Listings
view the archiveCross Platform ecommerce App
Contributed to the development of an eCommerce app for a major Japanese retail company by resolving bugs, implementing new features that boosted user engagement by 30%, and enhancing overall app performance.
Multi-tenancy Municipality Healthcare App
Led full-stack development of the App, integrating complex health assessments with accessbility feature and billing systems in multi-tenant architecture while ensuring a seamless, cross-platform user experience.
Deploy Docker Image to App Engine
Comprehensive step-by-step guide to deploy docker image in Google App Engine.
Vim for a better Developer
Utility of Vim and its key binding configuration in contrast to normal key binding.
Comparison between Typescript and Solidity
Comparison between Solidity and Typescript as a programming language.
Get in touch with webpack config
Introduction guide for junior developers regarding webpack and its configurations
What’s Next?
Get In Touch
I am currently open for work opportunities. Please let me know if you have any offers. I will do my best to respond promptly.
Say Hello