Senior Software Engineer with 18+ years building distributed systems that scale. From embedded C to enterprise payments at Zoom, startup AI automation, and now enterprise GenAI at Wells Fargo — I architect backend and AI systems that perform in production.
From embedded C to AI pipelines — a career built on systems that can't afford to fail.
My path in technology has been a steady climb from writing low-level embedded software in C to architecting distributed systems at scale — and now, integrating AI and machine learning into real-world enterprise workflows. Over 18 years, I've moved through roles that grew progressively more complex and impactful, each one building on the last.
I started at Precise Power, where I built machine-to-machine monitoring software for industrial UPS systems. That foundation — designing communication protocols, working at the hardware/software boundary — gave me a deep appreciation for reliability, because failure wasn't an option.
At BridgePay Network Solutions, I spent nearly a decade building a unified payment API that connected merchants to all major card processors through a single integration. That's where I developed deep expertise in Enterprise Integration Patterns and complex third-party systems.
Zoom brought me into large-scale consumer and enterprise SaaS — I joined the Billing and Payments team and grew into a Lead Engineer role, building global payment integrations (SEPA, iDEAL, Apple Pay, Google Pay, ACH) for tens of millions of users.
At Just Appraised, I worked at the intersection of backend engineering and AI — building RAG systems with LangChain and LlamaIndex, optimizing vector search infrastructure with Pinecone and Weaviate, and orchestrating ML pipelines on AWS for real government clients. Today at Wells Fargo, I bring that startup-tested GenAI experience into a regulated enterprise environment focused on secure, compliant, production-grade software.
Whether it's an embedded protocol or a distributed Kafka topology, I design for reliability, observability, and scale from the start — not as an afterthought.
At Zoom, I transitioned from IC to Lead — owning not just code, but roadmap alignment, team velocity, and technical decision-making across the billing domain.
I'm not following AI trends — I'm shipping RAG pipelines, conversational AI, LLM orchestration, and agent-oriented systems with reliability, security, and compliance requirements.
8+ years across payment processing: ACH, SEPA, iDEAL, Apple Pay, Google Pay, credit card fraud mitigation. I understand gateways, processors, and the business logic of financial systems.
A career spanning embedded systems, fintech, global SaaS, and AI — each role deeper than the last.
Building enterprise software and GenAI capabilities in a regulated financial environment. Applying deep Java microservices experience, Python-based AI development, and production engineering discipline to secure, compliant systems.
Building AI-driven government workflow automation platforms. Designing and maintaining production RAG systems that process and intelligently query government documents — with real reliability requirements for real clients.
Joined Zoom's Billing & Payments Engineering group and grew into a Lead Engineer role, taking ownership of global payment method integrations and the underlying billing infrastructure serving tens of millions of users worldwide.
Built the core payment processing platform — a unified API connecting merchants to every major card processor through a single integration. Developed the systems financial businesses depended on daily.
The foundation. Built M2M monitoring software for industrial UPS and battery systems — both the embedded firmware in C and the full backend application layer. Uptime was critical; failures had real physical consequences.
Built through production use — not certifications.
A software engineering degree that preceded the Spring era — paired with 18 years of production learning.
Connect with me about distributed systems, enterprise software engineering, payments platforms, or production GenAI integration.