AI & Salesforce Architect | Data Engineering Manager | 3x Salesforce Certified
I design AI-enabled systems that connect LLMs, trusted data, Salesforce ecosystems, and business workflows into practical solutions teams can use and maintain.
18+ years across software engineering, data, cloud, DevOps, AI, and Salesforce architecture.
Projects
A focused preview of work across AI assistants, RAG architecture, and CRM/CDP activation.
Designed an AI assistant concept to help marketing operations teams troubleshoot automations, search documentation, and support campaign workflows.
Planned a retrieval-augmented knowledge base strategy for trusted answers across customer support, internal enablement, and operational documentation.
Designed data flows, models, and activation patterns that prepare customer profile data for segmentation, campaigns, CRM use cases, and CDP activation.
Core expertise
AI assistant
Explore my work through a small AI assistant built with curated portfolio knowledge and lightweight retrieval.
Latest insights
Short articles and implementation notes on making AI, data engineering, and Salesforce architecture useful in real business workflows.
Internal AI assistants work best when they are designed around real tasks like support triage, documentation search, marketing operations troubleshooting, QA, and reporting help.
Salesforce CRM, Marketing Cloud, Data Cloud, preferences, campaign history, and customer profile data can support stronger AI workflows when structured and governed properly.
Retrieval-augmented generation works best when teams treat documents, metadata, permissions, retrieval relevance, and answer evaluation as core architecture decisions.
Contact
I’m open to consulting, technical advisory, architecture reviews, and relevant professional opportunities.