Reduced quote cycle time by 40%
Improved forecast variance from 28% → <10%
Increased win rates by double digits
Designed SLA frameworks and portals boosting CSAT +15–20 points
Deflected up to 30% of service cases
Consolidated tech stacks (3–5 tools → Salesforce) saving $250K+ annually
Simplified support models for scale
Unified ERP, Marketing, and Legacy CRMs into Salesforce Data Cloud
Applied Einstein/Agentforce AI → reduced admin time by 30%
Implemented COEs, DevOps, and security models for HIPAA/PCI/FINRA
Reduced deployment failures by 50%+
Sales Cloud, CPQ/Billing, Forecasting, Sales Cadences
Service Cloud, FSL, Experience Cloud
Marketing Cloud, Pardot, Campaign Attribution
Mulesoft, Snowflake, Tableau, CIAM/SSO
AI Agents, Einstein, Agentforce, Next-Best Actions
COE setup, CI/CD, Gearset, Git/Jenkins
Enablement, champions programs, adoption >80%
Migrated Siebel → Salesforce, unified 360° view, improved forecasting to ±10%.
Implemented Revenue Cloud CPQ, cut quote cycle by 35%, consolidated support.
Deployed FSL at scale; CI/CD pipelines reduced incidents by 60%.
Launched omnichannel commerce platform (SFCC + IAM), on time & under budget.
Built Salesforce COE, scaling delivery by 3×.
Roadmap, governance, architecture + hands-on build.
Quick sprints (forecast accuracy, SLA compliance, CPQ hygiene).
DevOps, data quality, and integration hardening for growth and audits.
Salesforce Partner, Architect, Developer & Program Leader since 2008
Former Salesforce Inc. Consultant & Program Architect
MIT Sloan: AI for Business Strategy
Executive MBA Candidate at Kellogg (2028)
Let’s unlock your Salesforce ROI
Here’s a short video clip to introduce myself and answer some frequently asked questions.
