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Vetted Go Professionals
Pre-screened and vetted.
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
Staff Software Engineer specializing in ML infrastructure and data platforms
Senior Software Engineer specializing in cloud platforms, AI systems, and EdTech
Senior AI Engineer specializing in NLP and large language models
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.”
Senior AI/ML Engineer specializing in LLMs, recommendation systems, and ML platforms
Senior Software Engineer specializing in Java backend and OLAP systems for Ads platforms
Senior Software Engineer specializing in AI infrastructure and distributed systems
Senior Backend Software Engineer specializing in cloud platforms and event-driven systems
Senior Full-Stack Software Engineer specializing in Mobile and AR/VR platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
Senior Full-Stack Software Engineer specializing in SaaS, FinTech, and Web3
Senior Software Engineer specializing in ML, distributed systems, and GenAI search
Senior Software Engineer specializing in DevOps and CI/CD infrastructure reliability
Senior Full-Stack Software Engineer specializing in AI-powered distributed systems
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Chase Bradley
Staff AI Engineer specializing in LLM systems, retrieval, and ML infrastructure
“ML/LLM engineer from Cohere who has owned retrieval, reranking, agentic workflows, and internal evaluation infrastructure end-to-end in production. Particularly strong in turning brittle RAG and research-heavy ideas into scalable enterprise systems with grounded outputs, lower customer escalations, and adoption by major clients like Notion and Fujitsu.”
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).”
Andrew Coven
Executive Software Engineering Leader specializing in AI/ML products and large-scale platforms
“Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.”