Designing Salesforce orgs built to scale: data model, security, automation, and governor-limit strategy meant to outlast the next release.

Turning business needs into concrete technical decisions - from enterprise systems to integrated services, focused on what actually needs to run in production.

Connecting Salesforce to the rest of the enterprise ecosystem - REST/SOAP, Platform Events, and integration patterns that survive volume spikes.

CI/CD pipelines, release governance, and deployment discipline for Salesforce teams - less friction between "done" and "in production".

AI applied to software engineering and the Salesforce ecosystem - from Agentforce to agents and automations that need architecture, not just prompting.

Technical direction for squads and projects - architecture decisions that need to be explained, defended, and sustained over time.