Feb 07, 2025 – June 10, 2025
Backend Developer Intern
Ceeras IT Services
constcoder={name:'AKASH KUMAR',skills:['React', 'NextJS', 'Redux', 'Express', 'NestJS', 'MySql', 'MongoDB', 'Docker', 'AWS'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};
Experiences
Aug 2024 – Sept 2024
Full Stack Web Development Intern
Integra Minds Company, Bengaluru
June 2024 – July 2024
Python, Machine Learning, and Data Science Trainee
GLA University, Mathura
Skills
PROJECTS
Developer's Community
A social-coding platform where developers engage in discussions, showcase projects, and collaborate on solutions. Features include user profiles with skills and contributions, Q&A boards, project showcases, and a developer directory.
#Next.js#Node.js#Express#MongoDB#Tailwind CSS
Learning Management System
Built a full-stack LMS using Next.js, Node.js, AWS Lambda, DynamoDB, and S3. Integrated Clerk for authentication and Stripe for payments. Frontend deployed on Vercel.
#Next.js#Node.js#AWS Lambda#DynamoDB#S3
Social Vibe - Social Media Platform
A modern full-stack social media platform built with Next.js, PostgreSQL, and TypeScript. Features real-time interactions, secure authentication with Clerk, and file uploads. Optimized with dynamic routing, API integration, and caching.
#Next.js#TypeScript#PostgreSQL#Clerk#Vercel
Real-time Chat App
Implemented JWT-based authentication and real-time messaging with Socket.io and React Context. Deployed on AWS EC2 with Zustand for global state and robust client-server error handling.
#React#TailwindCSS#DaisyUI#Node.js#Express
E-Commerce Platform
A robust e-commerce platform featuring JWT authentication, MongoDB & Redis integration, Stripe payments, and an admin dashboard with sales analytics. Includes product/category management, shopping cart, coupon system, and Tailwind CSS styling.
#Node.js#Express#MongoDB#Redis#JWT
Notes Application
A secure notes app built with Spring Boot and Next.js. Features user registration, JWT authentication with HTTP-only cookies, CRUD operations, and modern UI. Backend uses Java and REST API with configurable database.
#Spring Boot#Java#JWT#Next.js#REST API
Movie Recommender System
Created a movie recommendation system using content-based filtering with Count Vectorizer, including data preprocessing, EDA, and model evaluation. Deployed with an interactive Streamlit UI, NumPy, Scikit-learn, and Pickle.
#Python#Pandas#NumPy#Scikit-learn#Streamlit
Educations
2023 - Present
Bachelor's Degree in Computer Science
GLA University, Mathura
2020 - 2023
Diploma in Computer Science
Government Polytechnic College, Tundla, Firozabad
2018 - 2020
High School Certificate
Deep Singh IC College