People detection and optional tracking with Tensorflow backend.

Serverless image processor built with Go, AWS Lambda, S3, and SQS. Automatically creates thumbnails and medium-sized versions of uploaded images with optimized compression.

A powerful and user-friendly web application that allows users to easily download audio content from Spotify URLs. This application is built using Flask for server management and spotDL for asynchronous audio file downloading.

Simplified API for seamless OpenAI requests, streamlining access to AI capabilities... Created at https://coslynx.com

Java demo showcasing both the Observer and Publish/Subscribe design patterns. Includes simple, practical implementations to highlight their differences.

A distributed J2EE Online Auction System utilizing EJB (Enterprise Java Beans) (Singleton, Stateless, MDB) & JMS for high-concurrency, asynchronous bid processing. Features realtime updates via WebSockets, thread-safe concurrency control, & a Bootstrap/jQuery UI powered by Jackson JSON serialization, deployed as a scalable EAR (Enterprise Archive)

Kafka Laravel Queue – A Laravel package that integrates Apache Kafka as a queue driver, enabling efficient, scalable, and event-driven job processing in Laravel applications. 🚀

People detection and optional tracking with Tensorflow backend.

Docker Compose setup for a highly available Kafka cluster using KRaft (no ZooKeeper). Includes Kafdrop for web-based Kafka monitoring.

Event-driven messaging and background processing with RabbitMQ and .NET.

A robust, scalable payment gateway system built in Java, designed to demonstrate Low-Level Design (LLD), clean architecture, and real-world backend engineering concepts such as idempotency, asynchronous processing, and webhook reliability.

Simulação de fluxo de pedidos assíncrono com Spring Boot e ActiveMQ. Demonstra mensageria (JMS), desacoplamento e processamento entre microserviços independentes.

HTTP API with asynchronous data processing using RabbitMQ and Spring Boot

Agibank Challenge | Scalable financial contract validation service with high-volume asynchronous processing

Build an intelligent backend platform that unifies developer issue data from multiple sources, stores and normalizes it, analyzes trends, and surfaces actionable insights — all from a single dashboard.

AI system for object detection and test-to-speech conversion from images.

Symfony 7 bundle for seamless Zitadel authentication. Showcases enterprise patterns: secure API, async processing, event-driven sync, robust error handling, and advanced repository architecture. Designed for maintainable, scalable user management.

An Agile and Scalable File Digitization Solution: Comprehensive low level application architecture utilizing AWS Services.

RideSphere is a scalable, event-driven ride-sharing backend system built using microservices architecture with Node.js, Express, MongoDB, RabbitMQ, and JWT authentication. The platform demonstrates real-world system design principles, asynchronous communication, API Gateway pattern, and fault-tolerant service orchestration.

Failure-resilient long-running processor of a Funda dataset.