我的编程学习之路，包括了design pattern，data structure，java8，java io，java concurrent，guava，spring，spring boot，spring cloud，js，vue

Spring Boot Java multi-project Gradle build sample using Structured Concurrency for remote requests

Concurrent BFS-based web crawler built with Java & Spring Boot using ExecutorService, BlockingQueue, and thread-safe data structures.

Java 21 Virtual Threads & Structured Concurrency (JEP 453) demo with Spring Boot 3.2 — parallel API aggregation, timeout, cancellation.

✔️ Object-Oriented Design ✔️ Java Core & Advanced Concepts ✔️ Spring Boot & Microservices ✔️ Multithreading & Concurrency ✔️ Data Structures & Algorithms

A well-structured Java interview prep repository featuring Data Structures & Algorithms, Core Java & Concurrency, Backend Engineering (Spring Boot, JPA, Kafka), SQL optimization, and System Design — built with a Product-Based Company mindset.

OrderLab is a real-world Spring Boot (Java 21) learning project that teaches core concurrency concepts—threads, shared state, executors, CompletableFuture, synchronizers, queues, deadlocks, virtual threads, and structured concurrency—through HTTP endpoints and tests.

A 50-day structured Java backend learning journey covering core to advanced backend concepts, including Java fundamentals, collections, concurrency, file handling, exceptions, streams, analytics, Spring Boot foundations, databases, and real-world backend patterns.

A Spring Boot wrapper for the VROOM C++ Engine for solving Vehicle Routing Problem. Inspired by VROOM Express, this project provides a structured and high-concurrency Java-based API layer to interact with the VROOM engine.

InsightPulse is a microservice-based Java + Spring Boot 3.5 application that aggregates and analyzes real-time data from multiple external APIs (e.g., finance, weather, social media, or e-commerce) in a concurrent and structured way.

Built a high-performance, thread-safe backend system using Java and Spring Boot to ingest, deduplicate, and analyze machine events in real time. The system supports batch processing, atomic updates, and time-based analytics using concurrent data structures.