Senior Software Engineer with 18+ years building distributed systems that scale. From embedded C to enterprise payments at Zoom, and now AI-powered automation — I architect backend 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.
Today, at Just Appraised, I'm working 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.
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 in production, for real clients, with reliability requirements. Vector search, LLM orchestration, and enterprise-grade data pipelines.
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 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.
Open to senior & staff engineering roles, technical leadership positions, and consulting conversations around distributed systems or AI integration.