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Trying to learn something
:octocat:
Trying to learn something
3 followers · 1 following

Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Highlights

  • Pro

Organizations

@timechargengo

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shubham-karn/README.md
Shubham Karn — Full Stack Developer · AI Engineer · Kathmandu, Nepal

Portfolio  ·  LinkedIn  ·  Email

Full-stack developer at Time Charge N GO with three years of shipping real products. I spend most of my time building AI-powered applications end to end — LLM pipelines with LangChain and RAG behind the scenes, Django and FastAPI in the middle, React and Next.js up front.

Now: going deeper on Kubernetes, LangGraph, and vector search  ·  Off the clock: gaming, cinema, travelling

Stack

Languages Python, TypeScript, JavaScript
AI / LLM PyTorch, TensorFlow LangChain LangGraph Hugging Face OpenAI Claude Gemini
Backend Django, FastAPI, Node.js, Express, GraphQL
Frontend React, Next.js, Tailwind, HTML, CSS
Data PostgreSQL, MongoDB, MySQL, Redis, Elasticsearch Pinecone Qdrant
Cloud & DevOps Docker, Kubernetes, AWS, Nginx, Terraform, GitHub Actions

Featured work

  • Fragebank — full-stack exam-prep platform: timed MCQ tests with autosave, solution review, performance tracking, and JWT + passkey (WebAuthn) auth — a Next.js web app, Express API, and Flutter app
  • Nepshala — EdTech platform with personalized learning materials, video lessons via Cloudflare Stream, notes, and model tests with progress insights — Django + Next.js, containerized behind Nginx
  • MyPocketLawyer — AI legal aid assistant for Nepali law: a RAG pipeline over the Constitution, Penal Code, and 10+ acts, answering with citations to the exact articles and clauses
  • Travya — agentic AI travel companion: a multi-agent system that plans itineraries, maps destinations in real time, and books trips conversationally
  • Apple Detector — computer-vision service that counts, colour-grades, and rejects apples using a fine-tuned YOLO detector with a ResNet-18 spot classifier
  • Portfolio — the code behind shubhamkarn.com.np, built with Next.js and Tailwind CSS

GitHub stats

GitHub contribution streak

Thanks for stopping by — say hi at shubhamkarn164@gmail.com

Popular repositories Loading

  1. django_demo django_demo Public

    This is to create a basic Django app, containerize it, and deploy it to Microsoft Azure with a CI/CD pipeline in GitHub Actions.

    JavaScript 1

  2. logistic_regression logistic_regression Public

    This is a basic linear regression model using sklearn

    Jupyter Notebook

  3. YOLO YOLO Public

    A basic YOLOv8 model

    Jupyter Notebook

  4. portfolio portfolio Public

    This is my portfolio website

    JavaScript

  5. image_classifier image_classifier Public

    This is a simple example of CNN classifying happy and sad people

    Jupyter Notebook

  6. Apple_detector Apple_detector Public

    Python