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Vetted RabbitMQ Professionals
Pre-screened and vetted.
Stephen Koo
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
“Google Workspace AI engineer who owned major AI assistant infrastructure end-to-end: React/TypeScript UI, a Node.js context-aggregation gateway on Cloud Run, and a Go inference layer on GKE serving Gemini. Built and productionized Gmail RAG + agentic workflows with rigorous evals and guardrails, and has a strong track record of measurable impact (latency, engagement, acceptance-rate lifts) and zero-incident migrations using feature flags/strangler patterns across multiple ML teams.”
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Senior Software Engineer specializing in cloud platforms and healthcare AI
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems
Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
Senior Full-Stack Software Engineer specializing in AI-powered distributed systems
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
Upender Mula
Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech
“Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.”
Senior Software Engineer specializing in Python backend and applied AI platforms
Senior Software Engineer specializing in cloud-native microservices and real-time systems
Staff-level Software Engineer specializing in distributed systems and cloud platforms
Senior Full-Stack Software Engineer specializing in cloud automation and applied AI
Senior Software Engineer specializing in distributed backend systems and streaming infrastructure
Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations
Senior Software Engineer specializing in AI/ML and LLM-powered applications