Raphael – Python, Node.js, React

The project involved the development of a workforce management software designed for healthcare and nursing facilities. The platform enabled efficient staff scheduling, time and attendance tracking, worker management, and integrated payment services. The solution helped healthcare organizations streamline operational processes, improve workforce visibility, and ensure accurate compensation in a highly regulated and time-sensitive environment.

• Developed comprehensive systems for workforce scheduling, time and attendance tracking, and payroll within healthcare environments;
• Designed and implemented a generic integration pipeline enabling rapid onboarding of external partners, independent of partner technology stacks, with support for Email, SFTP, APIs, and other protocols;
• Integrated multiple third-party partners for payroll processing, benefits management, regulatory compliance, and data analytics;
• Built robust time and attendance functionality to accurately track worker hours, ensure correct payments, and support operational transparency.

The project delivered a secure, high-throughput payment platform designed to facilitate fast and reliable transactions for large enterprises. The system connects directly to the national central bank, providing end-to-end infrastructure for making and receiving payments while ensuring regulatory compliance, risk management, and operational scalability. It enables organizations to handle high-volume financial operations efficiently, with robust monitoring, security controls, and seamless integration with existing business processes.

• Developed core systems for a payments platform directly connected to the national central bank;
• Built backend services using Temporal and Apache Pulsar, ensuring secure, reliable, and auditable financial transactions;
• Engineered high-performance concurrent systems capable of handling millions of secure transactions with low latency.

The project delivered a comprehensive delivery management and logistics platform for businesses. The system enabled efficient management of drivers, streamlined delivery scheduling, facilitated communication with recipients, provided mapping and route support, and offered a platform for hiring and coordinating independent contractor drivers. The solution aimed to optimize operational workflows, improve delivery efficiency, and enhance overall customer satisfaction.

• Developed and optimized systems for last-mile delivery, enhancing efficiency, scalability, and operational reliability;
• Designed and implemented new features, including requirements gathering, data modeling, and full lifecycle development;
• Refactored and improved legacy code to boost application performance, maintainability, and stability;
• Integrated and managed backend services on AWS, ensuring secure, scalable, and seamless cloud deployment;
• Leveraged Firebase for real-time data processing, improving system responsiveness and accessibility of live data.

An AI-powered network management platform for Internet Service Providers. The system provides automation, monitoring, and analytics for remote management of internet routers, supporting providers of all sizes. It enables efficient oversight, troubleshooting, and optimization of large-scale networks, managing over a million routers across residential and business locations nationwide.

• Developed a remote router management application using the TR-069 protocol;
• Designed and implemented new features, including requirements gathering, data modeling, full-stack development, and ongoing support;
• Built an artificial intelligence assistant to support customers and improve service efficiency;
• Created a credit control and payment system for the AI assistant, ensuring secure and reliable transactions.