Direct Agents
Part of the data engineering team, focused on improving and scaling client data: building and maintaining pipelines, modeling data in SQL, and making ingestion more reliable as volume grows.
Developer · Back-end · Machine Learning
Bringing what SpaceXAI is building closer to developers in my community.
Part of the data engineering team, focused on improving and scaling client data: building and maintaining pipelines, modeling data in SQL, and making ingestion more reliable as volume grows.
Co-founded a software studio for data, automation, and AI systems that scale. Building our own products on top of it: CragData, a discovery layer for AI agents across documents, subdomains, and APIs, and CragLens, event intelligence that finds real estate deals before they are listed.
Designed and implemented a distributed queue architecture using PGMQ integrated with Supabase PostgREST, processing 10,000+ messages daily. Reduced system message load from 18,000 to 10,000 while maintaining the same user experience by consolidating redundant queue operations and implementing intelligent batching. Eliminated loading bottlenecks through asynchronous queue-based workflows. Built a dynamic observability system with structured logging and real-time metrics via Hotjar and Vercel Analytics. Resolved high memory consumption with request deduplication and caching strategies.
Built and maintained a modular, high-scale scraping framework using Python, YAML directives, RabbitMQ, rotating proxies, Docker, and shadow browsing, ensuring 99.9% pipeline uptime. Automated scraping directive creation and onboarding of new data sources, reducing setup time by 30%. Improved backend stability and CI/CD workflows with Docker and GitHub Actions, cutting manual maintenance by 40%.
Left is product, right is engineering. Up is intelligence, down is pipelines. The line on the right is the same work, newest first.
Hi, I'm João Victor Benedet Machado, a -year-old developer passionate about technology and programming. I'm currently studying Software Engineering at SATC, with 6 years of programming experience.
I have a strong interest in Machine Learning and AI tools. I completed a technical degree in Systems Development at SATC, the DeepLearning.AI TensorFlow Developer specialization on Coursera, and courses in Python, React Native, Java/Spring Boot for REST APIs. I have a solid foundation in Java, Spring Boot, Python, JavaScript, TypeScript, React, Node.js, Git, and Linux.
I consider myself creative, proactive, with strong critical thinking and problem-solving skills. I value teamwork, good communication, and continuous learning.