AI integration and LLM implementation
Add LLM features to existing products with tool use, structured outputs, prompt workflows, and cost-aware model routing.
- Working AI features inside real apps
- Cleaner prompts and safer outputs
- Latency and token-cost tuning
RAG and vector search
Design retrieval pipelines that connect documents, databases, embeddings, vector stores, and application UX.
- RAG architecture and implementation
- Milvus, pgvector, or Vectorize setup
- Search quality debugging
Agent systems and MCP
Build agent workflows that can call tools, inspect data, coordinate steps, and expose useful capabilities through MCP.
- MCP servers and tool interfaces
- Agent workflow design
- Guardrails for production use
Cloudflare Workers architecture
Plan and ship edge-first applications using Workers, Durable Objects, D1, R2, KV, Queues, and Vectorize.
- Cloudflare-native app architecture
- Worker APIs and data storage
- Deployment and performance fixes
Next.js full-stack builds
Build or improve App Router projects with TypeScript, i18n, API routes, static generation, and Cloudflare deployment.
- Feature implementation
- Routing and metadata cleanup
- OpenNext and deployment support
Drupal and WordPress modernization
Modernize legacy CMS work with custom modules, integrations, search, migration planning, and performance improvements.
- Drupal and WordPress technical fixes
- Search and integration work
- Upgrade and migration planning