Resources — Blog & technology insights
Engineering notes from the field.
What our engineers learn shipping AI, data, and cloud systems for enterprises — written for CTOs and the teams who build with them.
PRIVATE LLMS · 6 MIN READ
Choosing a private LLM strategy for regulated industries
Self-hosted, fine-tuned, or API-gated — a decision framework for CTOs weighing capability against compliance.
DATA PLATFORMS · 7 MIN READ
Microsoft Fabric as the unified analytics backbone
Consolidating warehouse, lakehouse, and BI without a multi-year migration program.
MACHINE LEARNING · 9 MIN READ
From notebook to production: MLOps that survives audit
Version everything, evaluate continuously, and make rollback boring — the discipline behind trustworthy models.
AI AGENTS · 6 MIN READ
Agentic workflows: where human oversight belongs
Designing approval gates that keep multi-step automation accountable without strangling its value.
SECURITY · 5 MIN READ
Securing LLM applications: prompt injection to data leakage
A practical threat model for enterprise AI surfaces, and the controls that actually mitigate it.
CLOUD & DEVOPS · 7 MIN READ
Cloud cost optimization: the 20–40% most estates leave behind
Right-sizing, storage tiering, and the architectural fixes that pay for themselves in one quarter.
COMPUTER VISION · 8 MIN READ
Pose estimation at production scale: EngageMax engineering notes
Model selection, edge performance, and accuracy trade-offs from a real production vision system.
DATA ENGINEERING · 6 MIN READ
Data contracts: ending the silent schema break
How producer-owned contracts stop downstream dashboards from lying to executives.
ENGINEERING CULTURE · 5 MIN READ
Code review as culture: what senior-led delivery actually means
The review discipline behind a decade of enterprise delivery — and why juniors get better faster inside it.
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