"We've seen what happens when AI ships without governance. We've also seen what happens when governance ships without AI. We solve both."
Discover Us
aiApas is not a strategy shop. It's not a vendor. It's the firm you call when you've already tried the easy answers and they didn't hold up in production, under load, or in front of a compliance examiner.
We were built by a practitioner who has delivered AML systems, fraud detection infrastructure, and $30M+ analytics products inside one of the world's most regulated financial institutions — and who knows exactly where the failure modes live.
"The gap between a working model and a production system is where most AI investments go to die. We exist to close that gap — rigorously, responsibly, and without the comfortable ambiguity that lets consultants collect fees while organizations collect technical debt."
We believe in AI that can be explained to a regulator, monitored by an engineer, and trusted by an end user. We believe the hard compliance questions aren't obstacles — they're design constraints. The firms doing AI right treat governance as architecture, not afterthought.
Not a resume — a record of what it takes to operate at the intersection of enterprise AI, applied mathematics, and regulated industry delivery.
BS & MBA in Finance · MS in Applied Mathematics · PhD Candidate in Biomathematics, Bioinformatics & Computational Biology
SVP/Director-level AI/ML leadership. AML, fraud detection, $30M+ analytics products delivered at regulated-industry scale.
Published research in Risk Modeling. Applied mathematics informing real-world AI governance and bias detection methodologies.
Active conference speaker on enterprise AI architecture. Software faculty member. BRG mentor and community leader in AI literacy.
Founder of The Deployment Layer — a weekly newsletter on enterprise AI architecture read by engineering leaders globally.
Active practitioner: PyTorch, TensorFlow, RAG pipelines, Kubernetes, AWS, Azure, GCP, Agentic AI, LLMOps.
The newsletter started because there was no publication speaking to practitioners: people who own the models, the pipelines, and the accountability.
Weekly thinking on enterprise AI architecture — for the people who have to make it work. Read by engineering leaders, Chief AI Officers, and enterprise architects globally.
The founder is an active presence in the AI community — as a practitioner, teacher, speaker, and advocate for responsible AI deployment.
Direct access to the founder. If we're the right fit, you'll know by the end of the call.