AI Consulting & Integration

AI Strategy & Assessment — Not every problem needs AI, and not every AI solution needs to be complex. I help you identify where AI can deliver genuine business value, assess technical feasibility, and create practical implementation roadmaps. No hype, no buzzwords—just honest technical evaluation and strategic planning.

Technical Implementation — From proof-of-concept to production deployment, I provide hands-on development support for AI integration projects. Whether you're adding AI capabilities to existing products or building new AI-native applications, I bring deep technical expertise in modern AI frameworks and best practices.

AI-Native Architecture — Building AI into your product architecture from the ground up requires different thinking than traditional software development. I help design systems that leverage AI as a core component, ensuring scalability, reliability, and maintainability as AI technology evolves.

Team Enablement — The best AI consulting doesn't create dependency—it builds capability. I work collaboratively with your team, sharing knowledge and establishing patterns that enable your developers to continue building and maintaining AI systems independently.

Product Teams exploring how AI can enhance their application with intelligent features like natural language search, content generation, or automated workflows.

Technical Leaders who need to evaluate AI opportunities, build implementation roadmaps, and make informed decisions about AI architecture and tooling.

Development Teams implementing their first AI features and looking for expert guidance on frameworks, best practices, and common pitfalls to avoid.

Startups building AI-native products who need experienced technical support to move quickly without accumulating technical debt.

1. Discovery Call (Free) — We discuss your goals, current state, and explore whether AI is the right solution for your needs. I'll ask questions about your users, data, and technical constraints to understand the full picture.

2. Assessment & Proposal — For larger projects, I provide a detailed technical assessment covering feasibility, approach options, estimated effort, and recommended next steps. You get a clear picture before committing.

3. Implementation — We work together in focused engagements—whether that's a 1-week proof-of-concept, a 4-week feature implementation, or ongoing advisory support. I adapt to your team's workflow and preferred communication style.

4. Knowledge Transfer — Throughout the engagement, I document decisions, share context, and ensure your team understands the "why" behind implementation choices. The goal is to build your team's AI capability, not create dependency.

• Foundation Models: Claude (Anthropic), GPT-4 (OpenAI), and open source alternatives
• Agent Frameworks: CrewAI, LangChain, AutoGen, custom implementations
• Integration Protocols: Model Context Protocol (MCP), REST APIs, GraphQL
• Languages: TypeScript, Python, JavaScript
• Cloud Platforms: Serverless deployments, Docker, CI/CD pipelines
• Data & Vector DBs: PostgreSQL with pgvector, Pinecone, Weaviate
• Prompt Engineering: Advanced techniques for reliability and consistency