Human-in-the-Loop AI in Financial Services: Data Engineering That Enables Judgment at Scale
How data engineering architecture enables human-AI collaboration in financial services — feature stores, explainability, and continuous learning pipelines.
Publications
Peer-reviewed journal articles, conference papers, and technical writing on data engineering, AI infrastructure, and platform architecture.
Making Banking Platforms AI-Ready: The Data Engineering Foundation
How effective AI deployment in banking depends on a robust data engineering framework — multi-zone architectures, feature versioning, governance, and real-time processing.
Composable Data Architectures: Moving Beyond the Monolithic Platform
The paradigm shift from monolithic enterprise data platforms to composable architectures with decoupled systems and standardized interfaces.
Data-Centric AI: Engineering Platforms for Pre-Model Intelligence
The paradigm shift from model-centric to data-centric AI — how data quality and governance at the platform level determine AI system success.
The Invisible Hand of Data Engineering: How Platform Decisions Impact People's Lives
How data architecture choices, pipeline failures, and default values in automated decision-making create systemic barriers to financial inclusion.
Lakehouse Convergence: Delta Lake & Iceberg
Analysis of format convergence between Delta Lake and Apache Iceberg — what it means for lakehouse architecture.
Delta Lake Transaction Logs Explained
Deep dive into how Delta Lake implements ACID transactions on cloud object storage through its transaction log.
Understanding the Evolution of Data Lakes
From Hadoop to modern lakehouse — tracing the architectural evolution of enterprise data lakes.
Displacement Based Unsupervised Metric for Evaluating Rank Aggregation
A variant of Kendall-Tau distance metric for unsupervised evaluation of rank aggregation — Springer PReMI 2011.