Data and AI Leadership
I'm a Managing Consultant and Data Management Architect with 17 years designing and delivering enterprise data systems for some of the world's most complex organisations. My work lives at the intersection of rigorous data engineering, applied machine learning research, and the emerging frontier of AI infrastructure — where hardware physics begins to define the limits of machine intelligence.
My enterprise practice centres on data migration and transformation at scale — architecting ETL transformation logic, mapping action strategies, enrichment pipelines, crontab-based scheduling, and data governance frameworks for SAP ECC-to-S/4HANA programs across manufacturing, financial services, and retail.
In parallel, I pursue academic AI research. My most recent work is HNSKT — Hierarchical Neuro-Symbolic Knowledge Tracing — a framework fusing transformer-based sequence modelling with inductive logic programming (ILP), hypothesis revision, adversarial deconfounding, and cross-domain transfer learning to model how students learn at causal depth. Currently under review at IJAIED (Elsevier).
My most recent invention — the Neural-Holographic Cache Controller (NHCC), U.S. Patent Application No. 19/656,853 — reimagines KV cache management in LLM inference as a hardware architecture problem, introducing phase-conjugate memory retrieval and holographic encoding to overcome the fundamental bottlenecks behind enterprise AI reliability failures.
