People detection and optional tracking with Tensorflow backend.

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.

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

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.

Aether-SPARC v3: Asynchronous neuromorphic signal processor integrating Selective SSM (Mamba) with Predictive Coding. Achieves ~88% compute reduction by executing state updates only on signal surprise. Verified with hardware-accurate MAC accounting and Intel Loihi 2 silicon energy projections. High-sparsity edge DSP.

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. 🚀

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)

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.

HTTP API with asynchronous data processing using RabbitMQ and Spring Boot

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.

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

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

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

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.

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.

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

Production-ready Agentic RAG system featuring an asynchronous Django ingestion pipeline, hybrid Neo4j graph/vector retrieval, cross-encoder re-ranking, and a multi-tool LangChain agent powered by Google Gemini.