I provide the technical leadership and architectural discipline to turn Generative AI into a business advantage. I combine deep expertise in LLM theory with the operational experience to audit your strategy, establish professional engineering workflows, and deliver reliable MVPs. Companies partner with me to ensure their AI initiatives are technically sound, cost-effective, and focused on driving actual business value.
Building reliable AI systems demands more than just development resources; it requires a structured approach to feasibility and execution. These services provide the framework to validate theoretical concepts, establish professional engineering workflows, and manage the delivery of high-impact MVPs.
I conduct a deep-dive assessment of your proposed use case to validate if it requires LLMs or deterministic software. I review your available data quality, security constraints, and infrastructure to recommend the specific tech stack (Vector DBs, RAG frameworks, Model selection) that fits your budget and latency requirements.
I embed with your engineering team to lead the development of complex AI features. I handle the non-deterministic logic—prompt engineering, evaluation pipelines, and agent orchestration—while establishing CI/CD practices for AI. We pair-program on critical components to ensure your team can maintain the system after I leave.
I act as your technical principal during the sales cycle. I review client requirements to spot technical red flags, draft the "Solution Architecture" section of your proposals, and attend pitch meetings to answer deep-dive questions from client CTOs regarding security, scalability, and AI capabilities.