Services
I work across the full lifecycle: framing the problem, designing the AI approach, building the system, proving it with evaluation, and running it under monitoring and guardrails.
01
Build LLM-powered applications and enterprise AI solutions — from prompt architecture and structured outputs to streaming interfaces and cost control.
02
Design reliable knowledge retrieval systems using embeddings, vector databases and semantic search, with grounding you can verify.
03
Build AI agents capable of reasoning, planning, tool usage and workflow execution — with validators between the agent and any real action.
04
Develop predictive models for classification, forecasting, anomaly detection and recommendations, delivered as maintainable services.
05
Build scalable AI services using Python, FastAPI and REST APIs, designed for concurrency, streaming and predictable latency.
06
Integrate AI solutions with enterprise applications, APIs, data platforms and cloud services without bypassing existing governance.
07
Implement evaluation frameworks, monitoring, validation and responsible AI controls so quality is measured rather than assumed.
Describe the problem and the systems involved. I'll map it to the right approach — or tell you if AI isn't the answer.
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