Amit Kumar

Full Stack Developer

MERN Stack Specialist | Front End (React) - Back End (Node) Developer

View Projects Contact Me Download Resume

About Me

I am a dedicated Full Stack Developer specializing in the MERN stack, with a strong focus on building scalable, high-performance web applications. Combining expertise in React for front-end development and Node.js for backend solutions, I craft seamless, user-friendly single-page applications (SPAs) that deliver outstanding digital experiences.

Committed to continuous learning and growth, I thrive in collaborative environments where innovation is key, and I am always eager to take on new challenges that push the boundaries of web development.

With strong problem-solving skills, clear communication, and a keen eye for detail, I drive product success by bridging the gap between design and functionality. I am passionate about leveraging modern technologies—including AI integration—to create intuitive interfaces that not only engage users but also enhance overall application efficiency.

Kolkata, India

+91-7970569931

sahani.amit297@gmail.com

Download My Resume

Skills

Languages

C++

JavaScript (ES6+)

SQL

JAVA

HTML

CSS

Python

Technologies & Frameworks

MongoDB

Express

React

Node.js

TypeScript

Bootstrap

Redux

Next.js

AWS

Git

REST APIs

Docker

Developer Tools

VS Code

PyCharm

JDK

POSTMAN

IntelliJ

Canva

AWS

Data Science

Python

Pandas

Numpy

Matplotlib

Seaborn

Scikit-learn

TensorFlow

Keras

PyTorch

SciPy

Supervised Learning

Unsupervised Learning

Regression

Classification

Clustering

Dimensionality Reduction

Model Evaluation

Feature Engineering

Hyperparameter Tuning

Ensemble Methods

Deep Learning

AI Tools

Perplexity.ai

OpenAI Codex

GitHub Copilot

ChatGPT

Codiga

Code Llama

Data Science Tools

Jupyter Notebook

Google Colab

Anaconda

Spyder

JupyterLab

Docker

Git

GitHub

Tableau

Power BI

Excel

Notion

Slack

Trello

Projects

Contact List App

React, Redux, MongoDB

A contact management application that allows users to fetch, add, update, and delete contacts through API integration.

Fetch and display contacts from API
Add new contacts via POST request
Update and delete contacts with state management

Placement Cell App

MongoDB, ExpressJS, EJS, Bootstrap

A comprehensive application for managing student interviews and placements data.

Student & interview data management
Employee authentication system
Interview allocation and result tracking

Habit Tracker App

React

An application that helps users track their daily habits and progress.

Add multiple habits to track
Mark habits as Done/Not Done/None
View all current habits

CSV Upload App

React, Redux

A versatile application for uploading and managing CSV files with dynamic data handling.

Upload and display CSV data
Dynamic column headers
Searching, sorting, and pagination

N Queens Visualizer

JavaScript, CSS, HTML

A visualization of the N-Queens puzzle solution using recursion and backtracking.

Visual representation of N-Queens solutions
Interactive user input
Implementation of backtracking algorithm

Meal App

Vanilla JavaScript, HTML, CSS (Bootstrap)

A meal planning and tracking application.

Add meals to list
Search meals by query
Filter matching meals

Sentiment Analysis Project

Python, NLTK, scikit-learn

Analyzed text data to determine sentiment polarity (positive, negative, neutral) using machine learning and NLP techniques.

Data preprocessing and cleaning
Feature extraction with TF-IDF
Trained and evaluated classification models

Speech Emotion Recognition

Python, librosa, TensorFlow

Developed a model to recognize emotions from speech audio using deep learning and audio feature extraction.

Extracted MFCC and other audio features
Built and trained neural network models
Achieved high accuracy on emotion classification

Uber Data Analysis

Python, Pandas, Matplotlib

Performed exploratory data analysis on Uber ride data to uncover trends and insights.

Data cleaning and wrangling
Visualization of ride patterns and demand
Identified peak hours and locations

Driver Drowsiness Detection in Python

Python, OpenCV, Dlib

Implemented a real-time system to detect driver drowsiness using facial landmarks and eye aspect ratio.

Face and eye detection with OpenCV
Real-time video stream processing
Alert system for drowsiness detection

Chatbot Project in Python

Python, NLTK, TensorFlow

Built an intelligent chatbot capable of understanding and responding to user queries using NLP and deep learning.

Intent classification and response generation
Preprocessing and tokenization of user input
Interactive conversational interface

Credit Card Fraud Detection Project

Python, scikit-learn, Pandas

Developed a machine learning model to detect fraudulent credit card transactions with imbalanced data handling.

Data preprocessing and feature engineering
Applied oversampling techniques (SMOTE)
Trained and evaluated classification models

Education

RVS College of Engineering and Technology, Jamshedpur

2012 – 2016

B.Tech - Electrical And Electronics Engineering

CGPA: 7.0

PGDHRM - IGNOU

02-2022 – 05-2023

Professional Certifications

Introduction to JAVA - Arrays, Searching And Sorting, String

Data Structures in JAVA - Recursion, OOPS, BST, Backtracking, DP, Hashmap, PQ, Graph, Tries and Huffman

Operating Systems - Scheduling Algorithm, Memory Management, concurrency, Linux

DBMS - SQL, Queries, Transaction, Indexing, NoSQL, Optimization

System Design - App Characteristics, Databases, Optimization, Web Communication

Front End — Full Stack Web Development - Bootstrap, DOM, React, Redux

Back End — Node.js, Mongoose, Socket Programming, APIs, MongoDB

Coding Platforms

LeetCode

Solved 300+ Problems

GeeksforGeeks

Solved 300+ Problems

Codeforces

Max Rating: 1251

HackerRank

200+ Problems Solved

Contact Me

Email

sahani.amit297@gmail.com

Phone

+91-7970569931

Location

Kolkata , India