Hello, I'm Adarsh Kumar Full Stack Developer

Passionate about creating innovative solutions with cutting-edge technologies. Specializing in AI/ML, Web Development, and Data Science.

developer.js
const developer = {
  name: 'Adarsh Kumar',
  skills: ['React', 'Python', 'AI/ML'],
  passion: 'Problem Solving',
  status: 'Available for hire'
};

About Me

Background

I'm Adarsh Kumar, an IIT Jodhpur graduate (Batch of 2025), pursuing Biotechnology with a minor in Data Science. I am passionate about leveraging technology to solve real-world problems.

Experience

I have worked primarily in software development, with a strong emphasis on machine learning and data-driven solutions. My focus lies in tackling complex problems and developing predictive models.

Adarsh Kumar

Featured Projects

Web Application

AppraiseMe

A social platform where users can create profiles and receive reviews on their soft skills. Features profile creation, work experience tracking, and peer review system.

React Django Python JavaScript
AI/ML

AI Chatbot with Deep Learning

Advanced chatbot leveraging RNNs and LSTM models with 85% response accuracy. Handles diverse queries through sophisticated text prediction algorithms.

Python TensorFlow NLTK Deep Learning
Frontend Project

Happit

Built a responsive React-based landing page for a kids' product store with category filters, shopping cart modal, and smooth animations for an engaging user experience.

React Tailwind CSS JavaScript < HTML > CSS
NLP System

Job-Resume Matching System

Intelligent system that matches job descriptions with resumes using NLP and ML techniques. Features automated report generation and compatibility scoring.

Python spaCy NLP Machine Learning
Full-Stack Project

RAG News Chatbot

A full-stack RAG-powered chatbot, built using FastAPI. It answers user queries over a news corpus using a Retrieval-Augmented Generation pipeline. An intelligent news assistant designed to answer user queries using Retrieval-Augmented Generation (RAG). I built a scalable FastAPI backend integrated with Gemini API and ChromaDB for semantic vector search across 500+ curated news articles. The frontend is a sleek React app that handles 100+ concurrent users, delivering a real-time chat experience. The chatbot achieves 90% relevance accuracy and boosts user satisfaction by 40% through context-aware responses.

React Tailwind CSS FastAPI Python ChromaDB Gemini API Jina Embeddings

Technical Arsenal

Programming Languages

Python
JavaScript
C#
Rust

Frameworks & Libraries

React
TensorFlow
Django
Node.js

Data & Analytics

SQL
Tableau
Power BI
Excel
Tech Stack

Achievements

Winner - TechFest IIT Bombay

Secured 1st place in competitive technical fest (December 2022)

Dec 2022

Let's Build Something Amazing

Ready to discuss your next project or just want to say hello? I'm always excited to connect with fellow developers, potential collaborators, and innovative minds.