Blogs
Insights, perspectives, and deep-dives on AI, data engineering, cloud architecture, and the future of intelligent enterprise systems
Articles & Insights
Sharing knowledge built from 20+ years of enterprise technology experience and applied AI research
Synthetic Data Generation: Solving Retail Demand Forecasting at Scale
How generative AI can close the gap between limited historical data and robust demand forecasting models — lessons from an IEEE published research project.
Read Research Paper →Event-Driven Architecture for Real-Time Retail Analytics
Designing streaming data architectures with Kafka, Pub/Sub, and Dataflow to deliver sub-second business insights across enterprise retail networks.
Read Research Paper →Building Trustworthy AI for Retail Pricing: Principles & Architecture
What does it mean to build truly trustworthy AI for pricing decisions? Exploring explainability, fairness, and auditability in cloud-native AI systems.
Read Research Paper →Agentic AI in Production: How Multi-Agent Frameworks Are Transforming Engineering
A practitioner's view on deploying multi-agent AI systems that autonomously generate, review, and validate enterprise code — reducing modernization costs dramatically.
Coming SoonMigrating Enterprise Data from Hadoop to GCP: Lessons from Three Production Migrations
The architectural decisions, trade-offs, and hard-won lessons from migrating three major Hadoop clusters and their datasets to Google Cloud Platform at Macy's.
Coming SoonAI-Driven Predictive Observability: Moving from Reactive to Proactive Data Pipeline Monitoring
How we built predictive observability dashboards using AI to detect data quality issues before they impact business decisions — a deep dive into our GCP implementation.
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