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Vetted AWS IAM Professionals
Pre-screened and vetted.
Executive engineering leader specializing in cloud infrastructure, DevOps, and platform scale
Senior Software Engineer specializing in distributed systems, AI/ML, and healthcare platforms
Senior Software Engineer specializing in cloud platforms and healthcare AI
Senior Full-Stack Engineer specializing in AI platforms, real-time collaboration, and observability
Senior Full-Stack Engineer specializing in Python back ends and cloud-native systems
Staff DevOps Engineer specializing in SRE, Kubernetes, and hybrid cloud platforms
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Senior Software Engineer specializing in AI platforms and full-stack cloud systems
Staff Software Engineer specializing in data platforms, distributed systems, and AI workflows
Senior Applied AI Engineer specializing in recommendation, search, and ML platforms
Richard Jackson
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
“Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.”
Staff Software Engineer specializing in FinTech, payments, and AI platforms
Senior Software Engineer specializing in AI infrastructure and distributed systems
Senior Software Engineer specializing in backend APIs and cloud architecture
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Backend Software Engineer specializing in cloud platforms and event-driven systems
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
Senior Software Engineer specializing in DevOps and CI/CD infrastructure reliability
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).”
“Built a zero-to-one, LLM-powered compliance automation platform for AWS Marketplace that reduced reliance on manual review for large-scale product publishing workflows. Stands out for combining full-stack engineering, internal platform integrations, and production AI evaluation in a highly regulated, operationally complex environment.”
Kevin Wang
Senior Software Engineer specializing in cloud infrastructure and distributed systems
“Amazon engineer focused on productionizing LLM-powered developer workflows, including code assistance, debugging automation, and internal AI tooling. Stands out for combining hands-on ML systems work with strong platform engineering, including an orchestration engine that reportedly saved about $10K/day and reduced a manual workflow from 12 hours to under a second.”
Christopher Sipola
Senior Machine Learning Engineer specializing in LLMs and recommendation systems
“ML/GenAI engineer who owned major parts of Spotify’s AI DJ from offline experimentation through deployment, monitoring, and iteration. They combine recommender systems, RAG, real-time feedback loops, and LLM safety/orchestration to ship consumer-facing personalization features that drove double-digit engagement and deeper listening sessions.”