I build Quote-to-Cash on Salesforce Revenue Cloud — and the Agentforce agents that work on top of it, without ever letting a model set a price.

I'm a Salesforce developer and ISV Partner, and my work starts where the revenue does: Revenue Cloud and Quote-to-Cash. Product catalog, qualification with Expression Sets, configuration, pricing, quotes and orders, tiered approvals, contracts and Industries CPQ — and the integrations that carry the order onward: SAP S/4HANA, DATEV, bank statements, payments and e-signature, through Apex and MuleSoft. On top of that I build Agentforce agents: grounded in the org's own data and acting through custom Apex under the Einstein Trust Layer, with Apex exposed to models as MCP tools, a router orchestrating specialist agents, and a natural-language deal builder inside my own RLM package. One rule runs through all of it: the language model extracts intent, code sets the numbers.

The third part is trust — the reason a finance or sales leader can let an agent near a quote at all. It comes from the Agent Development Lifecycle around those agents: proving them before, during and after they talk to a customer. Almost nobody publishes how they do that, so I built the whole cycle: a pre-install scan that mines a customer's real case history and scores whether the data can carry an agent at all, before a single build hour; a pre-registered German red-team corpus with a deterministic verifier the model is never allowed to sweet-talk; an analyzer that computes what an agent's code can actually reach — which caught a GDPR-labelled field escaping past the running user's own permissions, and where a live org, not me, is the judge; a runtime watchdog that correlates a live agent's quality drops with the org's change stream and names the strongest candidate cause with an evidence grade, never a bare 'root cause'; and a tool that turns an agent's operational traces into an EU AI Act Article 26 evidence pack, because regulators are starting to ask deployers of high-risk AI for operational proof, not policy documents. An agent that takes real action has to be trusted, and trust is something you engineer, not something you claim.

My professional background is shaped by both technology and education. Before moving fully into the IT world, I spent twenty years in education, including six years as a guidance counselor in an international college. Teaching has always been one of my strongest abilities: I can take a complex topic, simplify it, structure it clearly, and explain it in a way that people can truly understand. That is the half of this job that isn't code — standing in front of a customer, understanding what they actually need, showing them what an agent can and cannot do, and turning that conversation into something that ships.

I'm also a Salesforce ISV Partner. Out of the same Revenue Cloud work, I'm building Configra (configra.ai) — a Revenue Lifecycle Management managed package for AppExchange that lets sales reps create deal-specific product configurations directly on a quote, without polluting the catalog. It is prepared for AppExchange Security Review and not yet submitted.

A few things outside work shape how I work. Music: I play bağlama, ney and a little piano almost every day — playing from notation taught me that a single note can change a whole piece, the way a single line of code can change a system. People who know me describe me as calm under pressure — composed in stressful moments, focused on solutions. I care about team culture and simple rituals like “The Long Table”: shared food, sometimes live music, and the kind of honest conversation that doesn't have to be about work. And in Nigeria, my home for more than twelve years, I volunteer every year with teams that prepare and distribute food packages during Ramadan and Eid al-Adha — a standing lesson in responsibility, empathy, and service.

Beyond the day-to-day team, I build community in the wider Salesforce ecosystem too. On LinkedIn I founded and run the Salesforce Revenue Cloud | Germany group — a small but focused community of 303 practitioners working with Revenue Cloud in the DACH region — and write to an audience of more than fourteen thousand followers about the platform, integrations, and the work itself.

I am currently focused on Revenue Cloud and Quote-to-Cash, with Agentforce built in, and I want to do that inside a team that runs Revenue Cloud in production. My Revenue Cloud work is my own RLM product and a complete quote-to-cash build. I'm looking across Europe rather than one city: my working language is English, my German is B1, and I'm relocation-ready to wherever the team sits. To be upfront about it: I would need a work permit — for Germany, the EU Blue Card route — and my degree is not currently listed in anabin, so the route would have to be worked out with the employer rather than assumed. If a work permit is not possible, freelance work from Nigeria — with full overlap to European business hours — is the only alternative I am considering.