Abhishek Kumar

AI Developer Intern • Full Stack Developer

Building scalable, AI-powered applications that solve real-world problems. Passionate about clean code, innovative solutions, and cutting-edge technology.

Abhishek Kumar - AI Developer Intern & Full Stack Developer

01. About Me

Computer Science undergraduate with hands-on experience in Full Stack Development, AI/ML applications, and cloud-based systems. Proficient in React.js, Node.js, Python, SQL, MongoDB, Supabase, and REST APIs, with experience building scalable web applications, AI-driven solutions, and real-time dashboards.

Strong problem-solving skills with a passion for developing efficient, user-centric software solutions.

02. Experience

AI Developer Intern

@ NBPDCL Internship

Summer Training

Developed a smart feedback management system for North Bihar Power Distribution Company (NBPDCL) as part of summer training.

  • Implemented AI-driven feedback summarization using Gemini API, voice-based input via Web Speech API, and multilingual support (Hindi & English)
  • Built an admin dashboard for real-time issue tracking and analytics
  • Integrated Firebase authentication and deployed the system using Vercel (frontend) and Railway (backend)

03. Featured Projects

June 2025

NBPDCL – AI Enabled Feedback Management System

Built a full-stack web application using React.js, Node.js, SQL, and Firebase for secure user interaction and admin control. Integrated voice-based feedback input and multilingual support (English & Hindi) for improved accessibility.

Used Gemini API to generate real-time AI summaries of customer feedback for faster issue resolution. Designed an admin dashboard to categorize, track, and respond to feedback efficiently.

React.js Node.js SQL Firebase Gemini API
May 2025

PlatePal

Engineered an AI-driven Food Identification & Recommendation System using Foodvisor's instance segmentation models, implementing deep learning–based food detection, nutrient mapping, and user-specific dietary rules.

Integrated image preprocessing, model inference pipeline, and health-profile–based recommendation logic to deliver accurate food recognition and personalized nutritional suggestions.

AI/ML Deep Learning Instance Segmentation Nutritional Analysis
Dec 2025

SkyBook – Flight Booking Web Application

A flight booking web application built with React, TypeScript, Tailwind CSS, and Supabase, enabling users to search and compare flights with a modern, responsive UI and optimized performance.

React TypeScript Tailwind CSS Supabase
Nov 2025

Pure Hearts - Matchmaking Website

Developed a luxury-themed matchmaking website using HTML, Tailwind CSS, and JavaScript with responsive design and reusable components.

Designed and developed responsive UI layouts using Tailwind CSS.

HTML Tailwind CSS JavaScript Responsive Design

04. Tech Stack

Languages

JavaScript
Python

Frontend

React

Backend

Node.js

Databases

SQL
MongoDB

APIs & Tools

REST APIs
AI APIs
Git & GitHub

05. Skills

Programming Languages

C++ Python C C# JavaScript Java PHP

Web Development

React Flask Node.js HTML CSS Tailwind

Databases

SQL MySQL MongoDB PostgreSQL

AI/ML

Machine Learning Deep Learning TensorFlow Scikit-learn NLP

Additional Skills

BIG DATA AWS MS-Excel GitHub GIT Pandas Data Analysis Distributed Systems NumPy Google Colab Jupyter Restful APIs FastAPI ultralytics GCP Azure Docker

Soft Skills

Collaborative Analytical Flexible Creative Leadership Fast Learner Project Management Problem Solving

Coursework

Database Management Systems OOPs Operating Systems DSA

06. Hobbies

Riding

Cricket

Cooking

Travelling