Four roles, each closer to the business.

Pre-sales architecture. I designed how RingCentral would connect to the systems each customer already ran.

• Designed scalable solutions and reference architectures.
• Designed API and third-party integrations with Salesforce, ServiceNow, HubSpot, AWS, Azure and proprietary systems.
• Checked each integration with sales and technical teams before it went into a proposal.
• Wrote the technical sections of Statements of Work: scope, inclusions, exclusions and cost estimates.
• Presented designs and ran demos for clients.

Why it matters for AI: scoping an AI project is the same work. Define what is in, what is out, and what it costs, before anyone builds.

I led solution architecture from the sale through delivery, for network operations software used by large carriers.

• Architected a big-data platform. It collected carrier network data, cleaned and loaded it (ETL), built the network topology, and showed analytics and inventory in one view.
• Revitalized projects in Germany, the United States and Italy.
• Designed and deployed an end-to-end fulfillment solution for an Italian client. It automates connectivity from data centres to AWS and Azure, and it is live.
• Delivered Service Assurance software for Tier 1 clients.
• Mentored engineers.

Why it matters for AI: AI runs on data pipelines like this one. Getting data from many sources into one usable place is most of the work.

I was the technical voice in sales meetings across North America and Europe.

• Supported pre-sales across North America and Europe.
• Ran product demos for Tier 1 executives.

Why it matters for AI: executives decide on what they understand. I learned to show a system in their terms.

I worked in the Customer Technical Expertise Center on critical customer issues.

• Led resolution of critical customer issues.
• Built cross-platform tools for Unix, Linux and Windows.

Why it matters for AI: I know how production systems break, so I plan for it.