About the service
I create highly concurrent real-time backends on Elixir and Phoenix and have spent several years building systems that remain calm under loads capable of taking down a typical stack. When a product needs to maintain hundreds of thousands of live connections, instantly broadcast updates, and not lose a single message along the way, this is exactly the work I do every day. I design on top of the BEAM virtual machine and OTP so that failure is expected, isolated and automatically recovered, rather than crashing the entire system.
My typical projects are Phoenix LiveView applications with rich interactive interfaces that don't need a separate frontend framework, WebSocket channels for chats, presence and live dashboards, as well as fault-tolerant OTP systems of supervised processes, GenServer and dynamic supervisors. I write clean JSON and streaming APIs, model your domain through contexts, cover critical paths with tests and set up telemetry so you truly see how the system behaves in the field. I care about backpressure, graceful degradation and predictable latency, not a demo that works once.
With me you get honest time estimates, readable code, and a backend that scales horizontally without rewriting when traffic grows. I can join an existing project, debug a problematic deployment or start from an empty repository and take it to a reliable release. Describe the expected load and the guarantees you need — and I'll propose an architecture that meets them.
— Phoenix LiveView applications and real-time dashboards
— WebSocket channels, presence and messaging
— Fault-tolerant systems on OTP and GenServer
— REST and streaming APIs for large numbers of connections
My typical projects are Phoenix LiveView applications with rich interactive interfaces that don't need a separate frontend framework, WebSocket channels for chats, presence and live dashboards, as well as fault-tolerant OTP systems of supervised processes, GenServer and dynamic supervisors. I write clean JSON and streaming APIs, model your domain through contexts, cover critical paths with tests and set up telemetry so you truly see how the system behaves in the field. I care about backpressure, graceful degradation and predictable latency, not a demo that works once.
With me you get honest time estimates, readable code, and a backend that scales horizontally without rewriting when traffic grows. I can join an existing project, debug a problematic deployment or start from an empty repository and take it to a reliable release. Describe the expected load and the guarantees you need — and I'll propose an architecture that meets them.
— Phoenix LiveView applications and real-time dashboards
— WebSocket channels, presence and messaging
— Fault-tolerant systems on OTP and GenServer
— REST and streaming APIs for large numbers of connections