The work came before the lab.
I am a Senior Forward Deployed Consultant (FDC) at monday.com, specializing in AI transformation. I work with enterprise customers to move AI from proof of concept into workflows their teams own and use every day. Outside my day job, I do the same work for a few teams at a time. Side work and the views on this site are my own.
I have spent more than twelve years taking enterprise software from rollout to daily use. From August 2022 to May 2026 I was Senior Manager, Compliance Implementation at AuditBoard, now Optro. I owned the customer-side rollout of its generative AI suite. I took each deployment through a design sign-off gate, typically approved by the customer's CISO, and closed each engagement only when the customer confirmed adoption. Before that, at OneTrust, I built and led the operations team behind a professional services organization of more than 400 consultants. Earlier, I ran a NetSuite ERP implementation at KNOW Foods, grew e-commerce key accounts at Flash Furniture, and started my career at Infosys Consulting.
I am self-taught in AI. Most of what I know came from building my own projects, breaking them, and fixing them. I still learn that way. For any model, I want to know what it does well, where it fails, and which parts of the work should never depend on it.
I give AI three jobs. Reading pulls the signal out of noise. Writing turns rough material into something useful. Judging scores work against a clear rubric. Anything that has to come out exactly right every time belongs in deterministic code. A person makes the final call. My lab runs on that split, and so do the systems I help teams build.
My AI lab pairs frontier models in the cloud with local models on hardware I own. Frontier models plan the work and judge the results. Local models run the bounded, high-volume jobs. Deterministic code decides what counts. Most of what runs overnight is benchmarking, to find which local models earn a place. The lab proposes changes, and I approve them. I wake up to decisions, not chores. Every mistake lands on my electricity bill first, which is why I care more about what still works after the demo than what looks good during it.
Most days start or end with a look at what the lab has done. Away from the screen, I strength train because the progress is measurable and compounds. Golf keeps me humble for the opposite reason. I live in Atlanta. I went to Indiana University twice, for a B.A. in Economics and an M.S. in Information Systems.