Building scalable backend systems and intelligent applications.
🎓 B.Tech — Artificial Intelligence & Machine Learning 🏫 LNCT Group of College, Bhopal | 2023–2027 📊 CGPA: 7.68
I'm a developer focused on building backend systems, microservices, REST APIs, and AI-powered applications.
- 🔥 Strong interest in Spring Boot & Microservices
- 🤖 Building applications with Machine Learning & Explainable AI
- ⚡ Working with Apache Kafka for real-time data streaming
- 🔐 Implementing Keycloak, OAuth2 & JWT authentication
- 🧠 300+ LeetCode & 100+ GeeksforGeeks problems solved
- 🌱 Currently pursuing Infosys Springboard Virtual Internship 7.0
- 🚀 Interested in building real-world, scalable software solutions
Spring Boot • Spring Cloud • Microservices • REST APIs • Maven
React.js • HTML • CSS • JavaScript • Recharts • Chart.js
Keycloak • OAuth2 • JWT • Apache Kafka
A scalable healthcare platform built using Spring Boot Microservices with AI-powered clinical intelligence and real-time patient monitoring.
- 🏗️ Spring Boot Microservices Architecture
- 🚪 API Gateway & Service Discovery
- 🔐 Keycloak + OAuth2 Authentication
- 👥 Role-Based Access Control
- 🤖 ML-based Patient Risk Prediction
- 🧠 Explainable AI (XAI) for Clinical Insights
- ⚡ Apache Kafka for Real-Time Vital Streaming
- 🏥 HL7 FHIR Healthcare Interoperability
- 📊 React Dashboard for Live Analytics
- 📋 Care-Plan Tracking
- 📄 Automated PDF Report Generation
Tech Stack:
Java Spring Boot Spring Cloud React Python Kafka MongoDB Keycloak
A responsive web application that helps users calculate, track, and visualize their carbon footprint.
- 🌍 Carbon footprint calculation
- 📊 Interactive analytics dashboard
- ♻️ Carbon neutrality simulator
- 🤖 AI-powered sustainability recommendations
- 📈 Interactive Chart.js visualizations
Tech Stack:
React.js Tailwind CSS JavaScript Chart.js
Machine learning model for predicting IPL match winners using historical match data.
- 📊 Data preprocessing & EDA
- ⚙️ Feature engineering
- 📈 Logistic Regression
- 🌲 Random Forest
- 🧪 Confusion Matrix evaluation
- 🎯 Approximately 82% prediction accuracy
Tech Stack:
Python Pandas Matplotlib Scikit-learn
Arrays • Strings • Linked Lists • Stacks & Queues • Trees • Graphs • Dynamic Programming • Binary Search • Greedy • Recursion & Backtracking
Status: Ongoing
Hands-on training in:
Spring Boot REST APIs Spring Data JPA Maven Backend Development
🥇 1st Prize — Techno Cultural Fest, LNUniverse
🧠 300+ DSA Problems — LeetCode
💻 100+ Problems — GeeksforGeeks
🎖️ Oracle University — DevOps Certification
🤖 AICTE EduSkills — AI-ML Virtual Internship
