AI product integration
LLM-powered product features, assistants, document processing, semantic search, retrieval-augmented generation (RAG), and structured model outputs.
AI & cloud consulting
Turn AI and cloud technology into dependable business systems. I help teams identify useful AI opportunities, integrate models with their own data and workflows, and design cloud infrastructure that is secure, observable, maintainable, and appropriately sized.
What you get
Capabilities
LLM-powered product features, assistants, document processing, semantic search, retrieval-augmented generation (RAG), and structured model outputs.
Automate repetitive research, classification, content, support, and operations workflows with human review and measurable safeguards.
Cloud architecture reviews, AWS migrations, containerized services, networking, load balancing, storage, deployment strategies, and cost-conscious scaling.
Docker, CI/CD pipelines, observability, incident readiness, application performance, infrastructure modernization, and reduction of operational risk.
FAQ
The free consultation starts with the business problem, available data, accuracy requirements, privacy constraints, and expected value. If conventional automation is a better fit than AI, I will say so.
Yes. Depending on the use case, that may involve retrieval-augmented generation, controlled tool access, document pipelines, or conventional search and APIs, with privacy and access boundaries designed into the system.
Yes. Engagements can be a focused architecture or infrastructure review, a migration plan, implementation work, or ongoing technical support.
Tell me what you are building, changing, or trying to fix. I will reply with practical next steps and, when there is a fit, a written scope, timeline, and cost estimate.
Discuss your project