I operate as a Fractional AI Architect, specializing in bootstrapping 0-to-1 LLM orchestration and building the scalable backend infrastructure required to deploy AI in production environments.

My core expertise lies in bridging modern generative AI tools with stable enterprise databases, ensuring that applications do not just work in a sandbox, but scale without breaking. My technical deliverables include:

- Autonomous Agent Development: Bootstrapping voice-native AI ecosystems from 0-to-1, integrating custom LLM workflows (Voice/STT/TTS) for low-latency, real-time execution.
- State Management & Reliability: Engineering complex conversational flows with robust state management logic, ensuring context retention and graceful error recovery during live user interactions.
- Backend Optimization: Minimizing enterprise backend latency by 20% by refactoring legacy Python transaction code into highly scalable Java Spring Boot infrastructure.
- Database Architecture: Executing the migration and restructuring of massive datasets from PostgreSQL to MySQL to maintain data integrity at scale.
- Data Engineering: Reducing noise in raw data feeds by 30% utilizing machine learning and outlier detection techniques.

I partner with technical teams on a structured fractional retainer (up to 25 hours/week). I do not just build wrappers for APIs; I engineer the foundational architecture that makes high-performance AI integration possible.