I build Salesforce AI agents that take real action — and the tools that prove they're safe before they ever talk to a customer.

I'm a Salesforce developer and ISV Partner, and most of my work now sits where AI meets the platform: Agentforce agents that ground their answers in Data 360 and act through custom Apex under the Einstein Trust Layer, Einstein-powered features inside a product in AppExchange Security Review, custom Apex exposed to Claude as MCP tools, and an agent loop that builds an entire Salesforce org and verifies itself with its own tests. Underneath all of it sits the part people forget: Revenue Cloud, CPQ, contracts, billing and the integrations that make Quote-to-Cash actually work — because an agent is only as good as the org and the data underneath it.

The other half of that work is 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's currently going through AppExchange Security Review.

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 Salesforce AI — Agentforce, Einstein, Data 360 and MCP — on top of the Revenue Cloud and integration work that grounds it, with the goal of doing this in front of real customers on enterprise Salesforce projects in the EU and the DACH region. I'm targeting the Cologne / NRW area and I'm relocation-ready. To be upfront about it: I would need visa sponsorship, 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 sponsorship is not possible, freelance work from Nigeria — with full overlap to European business hours — is the only alternative I am considering.