Open to new opportunities·GMT-5 (Colombia, New York, Miami, Washington D.C.)

Brahian Arias — Software Engineerfocused on AI, agents & infrastructure.

I design and ship autonomous AI systems and the resilient backend infrastructure that keeps them running in production.

~/whoami

$ cat focus.txt

AI · Agents · Backend · Infrastructure

$ deploy --status

00Summary

Over the last few years I've worked on applied AI and distributed systems with microservices, event queues, and container orchestration. I build inference pipelines and implement observability tooling, making the system reliable. I deeply care about correctness under failure, latency, and abstractions that other engineers or agents can use to optimize their work.

2+
Years shipping
99.98%
Uptime maintained
01About me

A backend engineer highly dedicated to AI and infrastructure.

I started my career as a full-stack engineer for early-stage startups and gradually dove into the world of distributed systems: concurrency, queues, and maintaining impeccable uptime even at 3am.

Today, most of my work is dedicated to LLM-based agents — giving them tools, memory, and guardrails. I wrap them in the infrastructure that makes them applied to a precise business need.

Away from the keyboard, I enjoy guiding other engineers, write on my blog about systems design, and spend time tuning my local dev environment.

02Skills

The tools I reach for.

AI & Agents

  • LLM orchestration
  • RAG pipelines
  • Tool calling
  • Vector search
  • Fine-tuning
  • Eval harnesses
  • LangChain

Backend

  • Go
  • Rust
  • Python
  • TypeScript
  • gRPC
  • Connect RPC
  • GraphQL
  • Event sourcing

Infrastructure

  • Kubernetes
  • Terraform
  • AWS
  • GCP
  • CI/CD
  • Postgres
  • Kafka
  • Redis
  • Observability
03Projects

Selected work.

04Work experience

Where I've spent my time.

  1. Software Engineer, Full-Stack · Byte4Bit

    Jan 2024 — May 2026

    Remote

    • Delivered full-stack solutions across 5 client companies as a software consultant, specializing in AI implementation, backend architecture, and infrastructure.
    • Led infrastructure migrations including a full Azure to Digital Ocean transition, reducing cloud costs while improving deployment velocity.
    • Built and deployed distributed systems in production for Audit1.
    • Designed and implemented a recommendation graph pipeline for dating applications.
    • Implemented AI-powered chatbots with human-like behavior through queue-based systems and waiting mechanisms.
    • Established CI/CD pipelines and internal tooling that improved developer experience and deployment reliability across client teams.
    GoReactPostgresAICI/CD
05Blog articles

Notes on systems, agents and the craft.