I am an Enterprise Customer Success and Implementation professional who builds practical AI, data, and automation workflows for complex operations.
My work combines more than 10 years of customer-facing experience across financial services, risk intelligence, enterprise data platforms, and PropTech with hands-on technical problem-solving. I use AI and automation to address operational bottlenecks I understand from direct experience: investigating blockers, validating data, improving implementation workflows, and helping customers realize value faster.
- Customer onboarding, implementation delivery, product adoption, and revenue protection
- Human-in-the-loop agentic AI and grounded RAG workflows
- Salesforce and SOQL-based operational research and data validation
- REST APIs, SQL, JSON, Google Workspace APIs, and workflow automation
- Property intelligence using public municipal data, Socrata SODA API, and ArcGIS REST API
- Translating between customer needs, business operations, and technical teams
I have contributed to Credal's Actions SDK, including work on:
- Normalizing Salesforce email activity into cleaner conversational records for AI workflows
- Reading Google Docs comments with anchored source context
- Improving Google Sheets extraction and metadata workflows
Most of my current projects are private because they involve proprietary operational workflows, customer data, or active job-search automation. My public contribution history reflects ongoing work across TypeScript, Python, APIs, AI-assisted operations, and technical documentation.
I am focused on Enterprise Customer Success, Implementation, and AI Operations roles where I can help customers deploy complex products, strengthen delivery processes, and turn emerging AI capabilities into measurable business value.