Insights

Engineering Notes & Impact

Technical deep-dives, case studies, and lessons from building production AI systems.

Case Studies

Real-world impact from our engineering work.

Challenge: Manual risk evaluation taking 48+ hours

Impact: Risk assessment in under 5 minutes

Challenge: Reactive patient care with high readmissions

Impact: 23% reduction in preventable readmissions

Challenge: Inventory imbalances causing stockouts

Impact: 31% reduction in carrying costs

Blog

Engineering Blog

Technical deep-dives and practical insights.

A practical guide to building retrieval-augmented generation systems at scale using AWS Bedrock and OpenSearch.

Why accuracy alone is insufficient and how to build ML systems that deliver real business value.

From model training to edge deployment: building CV systems that work outside the lab.

Implementing enterprise-grade security for AI systems without sacrificing performance. GDPR + EU data residency patterns.

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