- π Hi, Iβm Raja
- π Passionate Developer | ML Enthusiast | Tech Innovator | Backend Devloper
- π Iβm interested in backend development, machine learning, and scalable system design.
- π± Iβm currently learning advanced Spring Boot, Docker, and AI-driven financial risk analysis.
- ποΈ Iβm looking to collaborate on open-source projects related to AI, fintech, and web applications,Server.
- π Pronouns: He/Him
- π‘ Love building: Smart, efficient, and scalable applications
- β‘ Fun fact: I helped build a Solar EV Bike backend system that processes real-time sensor data!
π οΈ Tech Stack
π Languages: C | Java | Python | SQL
π οΈ Frameworks: Spring Boot | React.js | Scikit-Learn | Scrum (Agile)
πΎ Databases: MySQL | PostgreSQL
π οΈ Tools: Git | GitHub | Docker | Kubernetes
β Cloud & DevOps: AWS | CI/CD Pipelines
π Projects That Define Me:
π‘ Climate-Integrated Stock Market Crash Prediction
πΉ Built a machine learning model that predicts stock crashes based on climate variables & financial indicators
πΉ Implemented Big Data concepts to analyze financial risks
π‘ Aptitude Learning Platform
πΉ Created an interactive learning platform using React, Spring Boot, and MySQL
πΉ Features: JWT authentication, real-time tracking, adaptive ML-based recommendations
π‘ Smart Contact Manager
πΉ Developed a secure contact management system using Spring Boot, Thymeleaf, MySQL
πΉ Integrated OAuth 2.0 & RBAC authentication for enhanced security
π₯ Letβs innovate, build, and change the worldβone commit at a time! π
π GitHub Stats
π₯ Code is life! Hereβs a glimpse of my GitHub journey:
Co-developed SkinGuard, an AI-powered app that uses Google Gemini 2.0 Flash to detect and monitor skin conditions (e.g., acne, eczema) through selfies. π Integrated diet, stress, and wearable data to uncover personalized triggers. π Achieved 92% dermatologist-level accuracy with privacy-first on-device processing. π Selected among the Top 8 global teams out of thousands of entries.
Awarded by the KIIT Student Research Community for backend development of a Solar EV Bike platform. βοΈ Built with Spring Boot + MySQL, enabling real-time sensor data processing and web-based analytics. π Enhanced user experience with a responsive dashboard for live monitoring and control. π Recognized for technical innovation and impactful energy research.