Hi, I'm Pranay Khojare

Software Engineer | Java Developer | Full Stack Developer

Entry-Level Software Engineer with strong expertise in Core Java, SQL, Object-Oriented Programming, and Full-Stack Web Development (MERN Stack). Experienced in Spring Boot backend development, RESTful APIs, and cloud-based workflows using Microsoft Azure and Azure Data Factory. Passionate about building scalable, secure, and high-performance applications.

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About Me

Who am I?

I am a Software Engineer specializing in Core Java, Spring Boot, and full-stack development using the MERN stack. I have built and deployed scalable web applications, implemented RESTful APIs, and worked with relational and NoSQL databases including MySQL and MongoDB.

Through multiple internships with Microsoft, Edunet Foundation, and IBM SkillsBuild, I gained hands-on experience in Microsoft Azure, AI-based systems, cloud deployment, and Generative AI tools. I focus on writing clean, efficient, and maintainable code while following SDLC best practices.

Pranay Khojare

My Skills

Core Java Spring Boot JavaScript React.js Node.js Express.js MySQL MongoDB RESTful APIs JDBC Azure Azure Data Factory Docker Git & GitHub DSA

Experience & Education

Jan 2026 – Feb 2026

Microsoft Elevate Intern – Azure

AICTE + Microsoft

Worked with Azure compute, storage, and AI services. Developed an AI-Based Student Placement Readiness Predictor using Python, Random Forest, and Streamlit.

Dec 2025 – Jan 2026

Cybersecurity with Generative AI Intern

Edunet Foundation – AICTE + VOIS

Built an AI-based Network Intrusion Detection System using Python, Machine Learning, and Wireshark.

Sep 2025 – Oct 2025

AI & Cloud Intern

AICTE • Edunet Foundation & IBM SkillsBuild

Completed a 4-week internship focused on Artificial Intelligence and Cloud Computing with project-based learning.

Feb 2023 – Present

Full Stack Web Developer

Freelancer

Designed and deployed custom web applications using Java, React, and modern frontend technologies. Improved performance and UI/UX.

Bachelor of Engineering

Prof Ram Meghe College of Engineering & Management

CGPA: 8.22

Diploma in Civil Engineering

Government Polytechnic Amravati

Percentage: 77.16%

High School

Fatima Convent High School Achalpur

MSBSHSE: 78.80%

My Projects

Complaint Management System

Complaint Management System

Final-year group project developed using Java, MySQL, Apache Tomcat, and Eclipse IDE. Features user/admin dashboards, complaint tracking, media upload, feedback system, and real-time status updates. Deployed on college server with cloud integration.

Java MySQL Apache Tomcat Eclipse IDE
Code
VibeCode Editor

VibeCode – AI-Powered Browser IDE

Built a browser-based IDE with real-time code execution using WebContainers. Integrated Ollama for localized AI-assisted coding and debugging. Implemented secure authentication with NextAuth and persistent storage using Prisma.

Next.js Node.js Prisma NextAuth Ollama WebContainers
Code
Query Finder Robot

Query Finder Robot

A Python based project leveraging Raspberry Pi 3, Speech Recognition, and pyttsx3 to enable hands-free query interaction with voice commands powered by AI and ChatGPT.

Raspberry Pi 3 Speech Recognition pyttsx3 ChatGPT
Code
Restaurant Management System

Restaurant Management System

Web-based application to automate restaurant operations. Implemented role-based access for admin, staff, and customers to manage orders, tables, and billing. Applied SE principles with UML diagrams, ER models, and DFDs.

Java PHP MySQL HTML/CSS
Code
BTEC Service Website

Website for BTEC Service Pvt Ltd

Developed and deployed a responsive corporate website for Pune's largest service provider using HTML, CSS, and JavaScript. Integrated Formspree for email notifications and incorporated client branding with interactive features.

HTML CSS JavaScript Formspree
Code Live Demo
Eclipse Tech Website

Business Website — Eclipse Tech

Built a responsive and SEO-friendly business website using HTML5, CSS3, and Bootstrap with optimized performance for cross-device compatibility.

HTML5 CSS3 Bootstrap
Code
Full-Stack E-Commerce Website

Full-Stack E-Commerce Website

Currently developing a full-stack E-Commerce web application using the MERN stack. Features include product catalog, user authentication, shopping cart, order management, and Stripe integration for secure payments. Backend will provide APIs with JWT authentication, role-based access, and MongoDB support. Responsive React.js frontend ensures a smooth shopping experience.

React.js Node.js Express.js MongoDB JWT Stripe Tailwind CSS
Code Live Demo
Netflix Clone

Netflix Clone

Built a fully responsive Netflix clone using React.js and TMDB API for fetching movie data. Implemented Firebase authentication and dynamic routing to replicate the real Netflix experience. Features include category browsing, hover trailers, and adaptive design for all devices. Deployed live on Vercel.

React.js TMDB API Firebase CSS3 Vercel
Code Live Demo
Kaksha | E-Learning Website (Frontend)

Kaksha | E-Learning Website (Frontend)

Developed a responsive and visually appealing E-Learning platform frontend using React.js and Vite. Integrated smooth animations, dynamic navigation, and interactive course sections to enhance user engagement. Deployed seamlessly on Vercel for fast performance, scalability, and a professional user experience.

React.js Vite JavaScript Web Development Frontend Vercel
Code Live Demo
AI Workout & Diet Planner (Internship Project)

AI Workout & Diet Planner Internship Project

Created as part of my AI & Cloud Internship with Edunet Foundation – IBM SkillsBuild, this AI-powered application generates personalized workout and diet plans based on user preferences such as goals, body type, and lifestyle. Built using Python and Streamlit, the app uses basic machine learning logic to recommend fitness routines and nutrition plans, and is deployed on Streamlit Cloud.

Python Streamlit Machine Learning IBM SkillsBuild Cloud Deployment
Code Live Demo
AI Network Intrusion Detection System

AI-Based Network Intrusion Detection System

Built during Cybersecurity with Generative AI Internship. Developed a Random Forest-based ML model to detect DDoS attacks using the CIC-IDS2017 dataset. Integrated Generative AI for automated threat explanation and built a real-time interactive dashboard using Streamlit.

Python Random Forest Scikit-learn Streamlit Cybersecurity
Code Live
AI Student Placement Predictor

AI-Based Student Placement Readiness Predictor

Developed during Microsoft Elevate Internship (AICTE + Microsoft). Built a machine learning system using Random Forest to predict student placement readiness based on academic performance and skill metrics. Delivered actionable improvement insights through an interactive Streamlit interface.

Python Random Forest Machine Learning Streamlit Azure
Code

Get In Touch

Email

Khojarepranay6@gmail.com

Phone

+91 9359142086

Location

Amravati, Maharashtra, India