Building AI Systems That Survive Production
What it actually takes to move machine learning from notebook to production — evaluation, monitoring, and the infrastructure models depend on.
Talks, tutorials, and deep dives on technology topics.
What it actually takes to move machine learning from notebook to production — evaluation, monitoring, and the infrastructure models depend on.
How anomaly detection and behavioral models are turning reactive SOC workflows into proactive, self-learning defense.
A talk on emerging threats and how zero trust architecture is reshaping enterprise security from the ground up.
A step-by-step tutorial on designing and deploying cloud-native infrastructure using AWS, Azure, or GCP.
A deep dive into building data pipelines that handle millions of events per second without breaking.
How working with MGM Mirage's player club database taught me about enterprise data systems and security.
Moving past simple Terraform scripts to production-grade IaC with state management and CI/CD integration.
Sharding, replication strategies, and consistency models for databases handling millions of concurrent connections.
More talks on the way — check back soon.
Interested in working together? Let's talk about your technology and data challenges.