Elias B.

I am a Distributed Systems Engineer specializing in building resilient, high-concurrency backend services. I help clients modernize their architectures, break down monoliths, and implement event-driven systems that scale reliably using Elixir, Go, and Kafka. I design fault-tolerant systems that thrive in production. Whether you need to scale a Phoenix application, implement a pipeline, or gain deep visibility into your infrastructure with Livebook, I bring the expertise to solve these complex challenges. What I Bring to the Table: - Resilient Backend Architecture (Elixir/OTP & Go): I specialize in leveraging the Actor Model and OTP to build systems that handle high concurrency and isolate failures before they bring down your application. From improving codebases to designing new services, I ensure your backend is performant, maintainable, and robust. - Real-Time Observability & Debugging (Livebook and Grafana): Distributed systems are hard to debug. I set up comprehensive observability stacks with Grafana and Loki, and I specialize in using Livebook to provide real-time introspection into your running BEAM nodes. This allows us to diagnose issues and explore data in production safely and efficiently. - Full-Stack & Real-Time Features (Phoenix Liveview/Svelte): My backend expertise extends to the frontend. I build reactive user interfaces using Phoenix LiveView or modern frameworks like React and Svelte. I focus on creating real-time experiences (live dashboards, collaborative tools) that feel snappy and responsive. - Scalable Event-Driven Systems (Kafka): Need to decouple your services? I design and implement event-driven architectures using Kafka. This ensures your system can handle spikes in traffic and allows for seamless integration of new features without disrupting existing functionality. - Production-Ready Deployments (Docker, CI/CD): I ensure your code gets from local to production safely. I leverage Docker and CI/CD pipelines to automate testing and deployment, minimizing the risk of downtime and technical debt.