People detection and optional tracking with Tensorflow backend.
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Updated
Feb 21, 2021 - Python
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.
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.
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.
Serverless image processor built with Go, AWS Lambda, S3, and SQS. Automatically creates thumbnails and medium-sized versions of uploaded images with optimized compression.
An asynchronous online judge built on a distributed producer–consumer architecture using BullMQ, Redis, Docker, and MongoDB.
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.
.NET 9 cloud backend for asynchronous podcast transcription with ASP.NET Core, FFmpeg, Azure AI Speech, Blob Storage, and Cosmos DB.
Java demo showcasing both the Observer and Publish/Subscribe design patterns. Includes simple, practical implementations to highlight their differences.
PulseWatch is a distributed uptime monitoring platform that schedules website health checks, processes them asynchronously through RabbitMQ workers, tracks latency and failures, manages incidents and recovery, and delivers real-time service status updates.
Pipeline assíncrono de conciliação financeira de alta performance construído em .NET 8, processamento em lote via Azure Service Bus e SQL Server (TVPs), cache e idempotência com Redis e testes conteinerizados com Docker.
Simplified API for seamless OpenAI requests, streamlining access to AI capabilities... Created at https://coslynx.com
Production architecture documentation for implementing Redis and Celery in Django applications, covering caching, asynchronous task processing, environment isolation, Kubernetes deployment, and engineering design decisions.
API assíncrona e resiliente de processamento de filas desenvolvida com NestJS, BullMQ e Redis. Inclui tratamento de falhas com DLQ, concorrência, retentativas automáticas, documentação interativa com Scalar, testes com Jest e suporte a Docker.
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.
Evidence-first technical pre-screening for web-business acquisitions. Built with Next.js, FastAPI, PostgreSQL, Redis, Dramatiq, and Playwright.
Docker Compose setup for a highly available Kafka cluster using KRaft (no ZooKeeper). Includes Kafdrop for web-based Kafka monitoring.
Agibank challenge | Scalable financial contract validation service with high-volume asynchronous processing
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