Testimonials
What it’s like to work with me, from the people who did.
Clients and colleagues across automotive, government, commerce, SaaS, and enterprise.
Automotive Technology · Next-generation autonomous vehicle management system
Delivered a complex CQRS framework that accelerated our development
Raymond architected and developed our cloud-agnostic CQRS and event sourcing framework for autonomous vehicle management. The system supports our entire 22-person development team and has enabled us to build new features 40% faster. His deep understanding of domain-driven design and microservices architecture made him invaluable to our team.
Government · Payment gateway implementation
Transformed our payment processing with enterprise-grade security
We needed a REST WebAPI payment gateway for federal government compliance. Raymond delivered a secure, well-documented solution that integrated seamlessly with our existing systems. His attention to security best practices and government requirements saved us weeks of compliance work.
E-commerce · Faceted search module
Built a faceted search module that improved our conversion rates
Raymond developed an AJAX-enabled faceted search module for our e-commerce platform. The implementation was performant, maintainable, and significantly improved our product discovery experience. Conversion rates increased by 15% after deployment.
Software as a Service · Multi-provider LLM orchestration
Expert guidance on AI/ML integration and cost optimization
The numerical claims in this previously published testimonial have not been verified against benchmark records. Read the evaluation results.
Raymond helped us implement a multi-provider LLM routing system with intelligent cost controls. His expertise in observability and cost optimization reduced our LLM spending by 30% while improving latency by 60%. The system is production-ready and has been running reliably for months.
Enterprise Software · RAG system with pgvector and Azure
RAG implementation that delivered measurable accuracy improvements
The case-study evaluation measured 85% answer accuracy, up from 40% (+45 percentage points), on a 500-question test set. The client's wording is preserved below. Read the evaluation results.
Working with Raymond on our RAG implementation was exceptional. He built a complete system on Azure with pgvector, offline evaluation pipelines, and comprehensive dashboards. The system achieved 85% accuracy improvement over our previous approach, and his documentation made handoff seamless.
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