Five years across three regulated worlds, telecom at Verizon, healthcare software at Cognizant, and now banking at US Bank. I build systems that scale, automate the work that shouldn't be manual, and ship software that holds up under real load, then stay on to own it. Lately, teaching AI agents to handle the boring parts.
Five years across three regulated worlds, billing in telecom, enterprise platforms in healthcare, and payments at a top-10 bank, building production systems and owning them once they're live.
I'm a senior full-stack engineer on the team at US Bank, building online banking, payments, and loan origination for millions of customers. Before this I shipped enterprise platforms for a global healthcare client at Cognizant and telecom billing systems at Verizon, so regulated, high-stakes environments are home turf. I work the whole stack, Java 17 / Spring Cloud services and React / Angular front ends, on AWS and Azurewith Kafka, Kubernetes, and Terraform. I like the unglamorous parts: the reconciliation job that saves finance a day, the pipeline that just doesn't fall over at 2 a.m. Lately I've been building agentic-AI and automation on the same foundation, same reliability mindset, fewer humans in the loop.
Five subsystems I run day to day, from the services under the hood to the AI layer on top.
Three industries, three postings, one operating principle: own what you ship.
What I build when no one's assigning the tickets.
An agentic RAG assistant that retrieves across private knowledge bases and reasons over them, built for grounded, citable answers.
A multi-agent automation hub that orchestrates specialized agents to run end-to-end operational workflows from a single console.
A runnable Spring Batch reference that reconciles an internal ledger against a bank statement, classifies every exception, and serves results over a REST API. Synthetic data, the patterns behind real financial-ops automation.
Open to senior full-stack, AI-engineering, and automation roles, anywhere in the US. Two weeks' notice, and I reply fast.