Enterprise Customer Success & Implementation professional (10+ yrs) who builds practical AI, data, and automation workflows for complex operations.
My work combines 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, ArcGIS REST API)
- Translating between customer needs, business operations, and technical teams
Open Code Review (Alibaba) — Contributed to Alibaba's open-source AI code review tool:
- Fixed GitHub 422 fallback handling: when batch review creation fails due to line validation errors, surviving comments are grouped into a single fallback review instead of degrading to N separate per-comment reviews
- PR #661 — reviewed and merged into upstream
main
Credal Actions SDK — Contributed to Credal's open-source action framework (TypeScript):
- Built
getSpreadsheetMetadataaction and refactored Google Sheets export from CSV to XLSX with unified Excel parsing — PR #534 (merged) - Built
readCommentsOnDocaction with DOCX anchor extraction, deterministic Drive API ↔ OpenXML joining, and zip-bomb protection - Built
getCleanActivityRecordsaction normalizing Salesforce email activity into cleaner conversational records for AI workflows
DataPortals.org — Fixed stale NYC and Boston open data portal URLs in the community-maintained global catalog of open data portals.
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.



