
Thompson
AI Automation Developer, Reliable Workflows and Integrations
Habilidades

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Porfolio
Experiencia laboral
Automation Architect
Salesforce
Aug 2020 - Nov 2023 • 3 yrs 3 mos
Designed and implemented complex, end-to-end automation systems for enterprise clients, integrating Salesforce with over 50 external platforms (e.g., HubSpot, Shopify, Stripe) using n8n, MuleSoft, and REST APIs. Built AI-powered lead scoring and routing engines using Salesforce Einstein and custom Python models, improving sales conversion rates by 25%. Architected a real-time data synchronization pipeline between Salesforce and a client's data warehouse, ensuring data consistency and enabling advanced analytics.
Tech Lead, AI Automation
Shopify • Tiempo completo
Jun 2018 - Jul 2019 • 1 yr 1 mo
Spearheaded AI-driven automation for merchant onboarding, fraud detection triage, and support ticket routing. Built a real-time orchestration layer using n8n and AWS Lambda connecting Salesforce, Zendesk, and internal databases—processing 10,000+ daily events with sub-second latency. Designed a Claude-powered recommendation engine that reduced manual merchant verification by 62%. Developed custom React dashboards for internal ops teams to monitor workflows and track SLA adherence. Refactored legacy PHP monoliths into event-driven microservices (Node.js, Python) on AWS ECS.
AI/ML Solutions Architect
Amazon • Tiempo completo
Mar 2016 - May 2018 • 2 yrs 2 mos
Architected and delivered end-to-end machine learning and automation solutions for clients across retail, logistics, and media. Built custom lead scoring and churn prediction models using Amazon SageMaker, integrating them directly into client CRM pipelines. Designed serverless automation architectures using AWS Lambda, API Gateway, and Step Functions. Led workshops on AI adoption, helping non-technical stakeholders identify high-ROI automation opportunities within their organizations.
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Reino Unido
Thompson delivered a top-tier technical research and architecture document for our AI assistant feature at NexaDesk AI. He did not just list tools. He mapped out a clear, production-minded plan for AI model selection, document ingestion, retrieval grounding, vector database tradeoffs, and a scalable...
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