Building Ethics Compliance Into Your AI Pipeline
Integrating fairness checks and bias audits into a production ML pipeline reduced bias-related incidents by 82% and added only 14 minutes to the training cycle.
Portfolio
Case Studies
Systems built, documented, and reflected upon.
Consulting Operations at Scale: 2 Founders to 10 Clients
Scaling from 2 founders with 3 clients to 6 people with 10 clients grew revenue 280% while maintaining 94% satisfaction after implementing standardized operations.
The One-Meeting Rule: How Eliminating Meetings Improved Output
Eliminating 70% of recurring meetings across a 45-person engineering organization increased shipped features per sprint by 34% and reduced context switches per developer from 11 to 4 per day.
Building a Data Platform on a Startup Budget
A production data platform serving 3 domains, 12 pipelines, and 25 dashboards was built using open-source tools for $487 per month total infrastructure cost.
Teaching SQL to Non-Technical Stakeholders: Lessons From Workforce Training
SQL training for 35 non-technical stakeholders achieved 71% query independence in 8 weeks, reducing ad-hoc data requests from 23 to 9 per week.
The Cost of Dirty Data Is Real and Quantifiable
A data quality project quantified dirty data costs at $2.4 million annually across labor waste, decision delays, and direct errors reaching clients. Clean data is a measurable business expense.
Cross-Cloud Architecture for Organizations That Refuse Lock-In
A cross-cloud architecture achieved portability across AWS, Azure, and GCP with 12% cost overhead while saving $1.4 million annually by restoring credible vendor negotiation leverage.
The Architecture of Migration: Moving Systems Without Losing Trust
A production system migration moved 4.7 million records over 16 weeks with zero data loss and zero unplanned downtime using dual-write patterns and automated reconciliation.
The Architecture of Consent: Building Opt-In Systems That Actually Work
A consent management system reduced support tickets by 78% and increased opt-in rates from 34% to 67% by treating consent as a first-class data entity with its own service and event stream.
AI Ethics Auditing as Continuous Integration
Automated ethics auditing on every model update caught 94% of fairness regressions within 15 minutes. The previous quarterly manual audit had a 47-day average detection gap.