I design and build low-latency, cost-efficient AI, ML, RAG, agentic workflow, and data quality systems for enterprise use cases - from discovery and solution architecture through to implementation, deployment, and optimisation.
I work directly with clients to understand operational bottlenecks, translate ambiguous requirements into technical architectures, estimate AI usage and infrastructure costs, and deliver production systems end to end.
I build APIs, custom machine learning models, RAG systems, AI agent orchestrators, tool-calling workflows, workflow automation, anomaly detection systems, and data quality platforms.
I design every solution as part of a larger operational system, considering user volume, latency requirements, infrastructure constraints, scalability, reliability, and cost.
Enterprise data quality engines, transformer classification pipelines serving millions of predictions, and legal automation systems reducing onboarding time from days to minutes.
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