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Vetted REST Professionals
Pre-screened and vetted.
Junior Backend and AI Engineer specializing in regulated healthcare and legal systems
Director-level IT leader specializing in DevOps, identity, and enterprise automation
Senior Full-Stack Engineer specializing in AI-powered healthcare and search platforms
Principal AI & Cloud Architect specializing in banking and healthcare platforms
Senior Full-Stack Software Engineer specializing in FinTech SaaS
Mid-level Full-Stack Developer specializing in React/Node and cloud dashboards
Senior Mobile Software Engineer specializing in Android/iOS apps for retail and insurance
Mid-level Software Engineer specializing in AI-driven full-stack systems
Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development
Jon Vogel
Executive software engineer specializing in iOS, AI, and edge computer vision
“Built a production AI-native internal onboarding feature that reduced manual product setup effort by combining barcode API data, product photos, structured LLM outputs, and a polished real-time camera UI. Demonstrates hands-on experience across the full stack of LLM systems: prompt/schema design, multimodal inputs, backend orchestration with SQS and vector retrieval, and production reliability through evals, telemetry, and drift monitoring.”
Mid-level Full-Stack Engineer specializing in cloud-native microservices and FinTech systems
Senior Software Engineer specializing in backend APIs and cloud-native services
Senior Engineering Leader specializing in SaaS platform modernization and scaling teams
Senior Full-Stack Engineer specializing in web platforms, e-commerce, and FinTech
Senior Full-Stack JavaScript Developer specializing in React and Node.js
Executive IT Leader / Deputy CIO specializing in enterprise architecture, cybersecurity, and cloud transformation
Nency Patel
Intern Backend Software Engineer specializing in AI and distributed systems
“Built and owned an enterprise AI document-processing deployment at an automotive tech startup, taking it from discovery to stabilization. Strong in production LLM/RAG systems and backend reliability, with measurable impact including 8,000+ documents processed monthly and turnaround time reduced from nearly 24 hours to about 3 hours.”