Project Overview

Developed during my tenure at a previous organization, this enterprise application focuses on delivering high-throughput LMS and core assessment modules supporting thousands of active concurrent production users.

Key Contributions & Technical Architecture

• Core Architecture: Collaborated with a backend engineering squad to architect the system from scratch, defining core relational data models and clear REST API contracts for the end-to-end evaluation lifecycle.
• Database Optimization: Eliminated N+1 query overheads using targeted fetch joins and optimized stored procedures, accelerating reporting and data generation times from 12 seconds to under 2 seconds.
• Asynchronous Processing: Leveraged Spring @Async annotation primitives for resource-heavy code evaluation processing, keeping main API threads responsive under heavy concurrent loads.
• Data Integrity: Wrapped complex multi-step write processes using @Transactional boundaries to prevent partial database failures and maintain data synchronization across independent tenant nodes.
• Design Patterns: Refactored a legacy authentication filter system using the Factory Design Pattern, bringing a messy code layer into an easily extensible, highly readable security module.
• Multi-Tenancy: Managed features within a multi-tenant monolithic backend structure designed to serve multiple corporate client portals from a single, resource-efficient deployment instance.
• Sandboxed Code Execution: Integrated safe third-party execution APIs (Judge0) to handle isolated, real-time code execution and scoring for automated student programming evaluations.
• Observability & CI/CD: Set up health metrics via Spring Boot Actuator, established structured logging frameworks (SLF4J/Logback) to speed up live production debugging, and implemented basic automated testing workflows via GitHub Actions.

Tech Stack Used: Java, Spring Boot, Spring Data JPA, Hibernate, PostgreSQL, Spring Security, JUnit 5, Docker, Judge0 APIs.