What I Do
I design and implement Salesforce architectures that work in production, not just in demos. I connect Sales/Service/Experience Cloud with your existing stack (AWS, Azure, legacy systems), integrate AI capabilities (Agentforce, Einstein AI, external models), and optimize for scale without exploding costs. No smoke and mirrors: architectures that go to production.
End-to-End Architecture Design
Complete Salesforce architecture: data model, REST/SOAP integrations, security model, deployment strategy. I review your current org, identify technical debt, and design optimization roadmap.
AI Integration in Salesforce
I implement Agentforce (Salesforce's AI agents), Einstein AI, and connectors to external models (OpenAI, Anthropic, Llama). RAG on Data Cloud, GenAI personalization, intelligent automation.
Multi-Cloud & Legacy Integrations
I connect Salesforce with AWS, Azure, GCP, and legacy systems. MuleSoft, REST/SOAP APIs, event-driven architectures. Integration patterns that scale without creating bottlenecks.
Optimization & Scalability
Technical audit of your Salesforce org: governor limits, data volumes, API consumption, LWC performance. I identify blockers before they explode in production.
How I Work
Discovery & Analysis
2-3 hour technical session to understand your business, current stack, problems, and objectives. I review your Salesforce org (if exists), integrations, and technical requirements.
Architecture Design
I create complete technical architecture: data model, object relationships, integration patterns, security model, deployment strategy. Document technical decisions and trade-offs.
Iterative Implementation
Development in 2-week sprints with functional deliveries. Apex, LWC, flows, integrations. CI/CD from day 1. Code reviews and pair programming with your team.
Testing & Go-Live
Comprehensive testing (unit tests, integration tests, UAT). Production deployment with rollback plan. Technical documentation, training, and knowledge transfer to your team.
Technical Expertise
Salesforce: Sales Cloud, Service Cloud, Experience Cloud, Data Cloud, Marketing Cloud. Apex, LWC, Aura, Visualforce. REST/SOAP APIs, MuleSoft, event-driven architectures.
AI & Automation: Agentforce (AI agents), Einstein AI, prompt engineering, RAG on Salesforce Data Cloud, integration with OpenAI/Anthropic/Llama.
Cloud & DevOps: AWS, Azure, GCP. CI/CD pipelines (GitHub Actions, Jenkins), Git, automated testing, deployment automation.
Industries: Banking (FSC), Insurance, Automotive, Life Sciences, Energy, Telecom. Experience with legacy systems and strict regulatory requirements.
Do you have a Salesforce project that needs solid architecture? Want to integrate AI without breaking your org? Is your implementation blocked and you don't know why? Let's talk.