• 🎓 B.E. in Computer Engineering — Dr. D. Y. Patil Institute of Technology, Pune (2022–2026)
• 💡 Focus on Full-Stack Development, Artificial Intelligence, and Cloud Deployment
• 🤖 Built AI-powered production-grade platforms solving real-world challenges
• 🌐 Passionate about scalable, cloud-deployed, and user-centric systems
• 🤝 Open to collaborating on impactful projects, hackathons, and open-source contributions
• 📫 Email: adityajadhav3117@gmail.com

Production-style Railway Reservation System built with 5 Spring Boot microservices, API Gateway routing, Eureka service discovery, stateless JWT auth, and a React + Vite frontend.

• Architected 5 independent Spring Boot microservices — Auth, Train, Booking, API Gateway, and Eureka Discovery Server.
• Implemented Spring Cloud Gateway with path-based routing and Eureka for dynamic service discovery with load balancing.
• Secured the system with stateless JWT authentication (HS256) and BCrypt password hashing via Spring Security.
• Built a responsive React + Vite frontend with Axios interceptors for automatic token attachment on every request.

Intelligent NGO donation platform resolving category routing using Machine Learning classification algorithms.

• Deployed a Naïve Bayes classifier to auto-categorize incoming donations and a smart pickup routing engine.
• Leveraged Role-based Authentication creating isolated portals for administration approval workflows.
• Fully automated End-to-End tracking managing the complete donation lifecycle mapped to MongoDB.
• Implemented Gamification systems providing donors with virtual badges, certificates, and live activity feeds.

Premium full-stack inventory dashboard engineered with strict SOLID backend architecture and modern Glassmorphism UI.

• Engineered with strict SOLID design principles, separating REST connections from Java business logic via interfaces.
• Built a completely custom Glassmorphism frontend showcasing dynamic CSS gradients and staggering load animations.
• Created a @ControllerAdvice global exception handling net intercepting bad queries for a bulletproof UX.
• Safeguarded records using continuous Jakarta Bean Validation (@NotNull, @NotBlank) for flawless data integrity.

Personalized learning engine utilizing content-based ML analysis to suggest hyper-relevant domains.

• Designed an intelligent Content-based Filtering algorithm analyzing data via mathematical Cosine Similarity.
• Engineered efficient matrix manipulation and parsing utilizing the Pandas dataframe ecosystem.
• Provided highly scalable and responsive Domain-based filtering logic for customized user recommendations.

Enterprise HR desktop application executing secure salary computations and robust employee monitoring.

• Enforced SQL injection immunity by wrapping all database transactions securely through PreparedStatement interfaces.
• Implemented sophisticated Object-Oriented Programming (OOP) rules bridging the UI code layer with the backend logic.
• Managed dynamic salary computations alongside highly concurrent CRUD queries tracking active employees.