Full-Stack Developer • DevOps • AI Enthusiast •  Full-Stack Developer • DevOps • AI Enthusiast •  

High-Performance Web Applications • Django • Next.js •  High-Performance Web Applications • Django • Next.js •  

Python • React • Docker • TypeScript • HTML/CSS •  Python • React • Docker • TypeScript • HTML/CSS •  

Full-Stack Developer + Laptop Chip-Level Technician and a Mobile Technician   •  Full-Stack Developer + Laptop Chip-Level Technician and a Mobile Technician   •  

Full-Stack Developer + Laptop Chip-Level Technician and a Mobile Technician   •  Full-Stack Developer + Laptop Chip-Level Technician and a Mobile Technician   •  

I'm currently building scalable and high-performance web applications using Django and Next.js, combining robust backend logic with sleek, responsive UIs.

With a strong foundation in Python, HTML/CSS, Docker, and Redis, I architect end-to-end solutions that are fast, secure, and production-ready. I love crafting clean code, automating workflows, and solving real-world problems through full-stack engineering.

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Full Stack Developer Profile
⚙⚙
DEV
STRATEGY
ALIGNING
CODE → WITH
USER NEEDS
AI / ML · NLP
⊕ PROJECTS
FULL-STACK &
INTERACTION
→ FUNCTION
USER
EXPER—IENCE
PROJECTS©
DOCKER &
DEPLOYMENT
LINUX STACK ✶
BACKEND LOGIC
DJANGO · NODEJS

SELECTED WORK

Recent projects I've worked on

Project 1
Ollama-Running-DeepSeek-R1-Locally
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Ollama-Running-DeepSeek-R1-Locally

Implemented a local RAG-based (Retrieval-Augmented Generation) Q&A system using Ollama running DeepSeek R1. Enabled seamless document uploading and intelligent question-answering by integrating local language models with efficient vector search, ensuring fast and private access to knowledge from user-provided content.

Docker, Nginx, MySQL,django project , Gunicorn

Engineered and deployed a scalable web application using Django, containerized with Docker, served via Gunicorn behind Nginx, and powered by a MySQL database. Designed the infrastructure for performance, security, and ease of deployment across development and production environments.

Project 3
Movie Recommender Systems
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Movie Recommender Systems

Developed a movie recommendation system using Django and trained machine learning models on the IMDb dataset. Implemented user-friendly HTML interfaces for browsing and receiving personalized suggestions. Leveraged collaborative filtering and content-based approaches to deliver accurate, real-time recommendations based on user preferences and movie metadata.

ABOUT ME

My journey and passion for full stack development

Prabin Khadka
Full Stack
Developer

Hi! I’m Prabin Khadka, a passionate full stack developer with a strong interest in Artificial Intelligence. I specialize in building complete, scalable web applications and integrating AI-powered features using modern technologies across the stack.

With hands-on experience in Python, Django, React, TypeScript, and containerized deployments using Docker, I love turning ideas into real-world solutions—from backend APIs to frontend UIs. I'm also exploring advanced AI models and NLP techniques in my side projects.

My Development Process

  • 01

    Planning & Requirements

    Understanding the scope, objectives, and tech requirements of the project

  • 02

    Architecture & Setup

    Designing the project structure, setting up Docker, databases, and environments

  • 03

    Development

    Building features across frontend and backend with efficient, clean code

  • 04

    Testing & Deployment

    Writing tests, debugging, and deploying the application using CI/CD pipelines

Skills & Tools

Python Django React Node.js TypeScript HTML5 JavaScript Bootstrap Git Linux Docker Jupyter Notebook Shell Scripting

BLOG

Exploring tech, AI, and full stack development

Blog post 1
APR 01, 2025

From Docker to Deployment: My Full Stack Workflow

A walkthrough of how I structure, containerize, and deploy modern web applications using Django, React, and Docker.

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Blog post 2
MAR 14, 2025

Getting Started with AI Projects as a Developer

My journey into AI and machine learning—from Jupyter notebooks to building my own movie recommender system.

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Blog post 3
FEB 22, 2025

Bringing NLP to Life with Byte Pair Encoding

An introduction to Byte Pair Encoding (BPE) and how it improves tokenization in natural language processing tasks.

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GET IN TOUCH

Let's collaborate on your next project

Location

Nepal,Kathmandu, Madhyapur Thimi

Social

AVAILABLE FOR FREELANCE

Currently accepting new projects for 2025