Software engineer & engineering leader
Hands-on across full-stack product development, AI systems, APIs, performance, and delivery. I bring 20+ years of engineering experience and the judgment to turn ambiguous product needs into reliable customer-facing software.
What I bring
I am strongest where technical ambiguity and customer urgency meet: turning a rough product need into an architecture, a working system, and a release the team can support with confidence.
Full-stack applications, AI and LLM systems, APIs, data workflows, performance work, and production troubleshooting. I make pragmatic tradeoffs around reliability, observability, security, cost, and user experience.
TypeScript · JavaScript · Python · React · Next.js · Node.js · SQL · GraphQL · Redis · Databricks
Hiring, coaching, technical direction, quality practices, release discipline, and product partnership. I help teams move faster by making scope, ownership, and engineering standards clear.
AI systems · RAG · Agents · MCP · AWS · GCP · CI/CD · Test automation · Observability
Selected experience
I have held engineering, management, and founder roles. The common thread is shipping useful software where product urgency, system quality, and delivery accountability meet.
More on how I lead and deliverNov 2023 – Nov 2026
Principal Software Engineer → Senior Engineering Manager → Director of Engineering
Led App Platform engineering and QA while continuing to build production AI capabilities. Improved Narrative Page loads by up to 45% and reduced a difficult SQL query from 4 seconds to 788 milliseconds through API batching, Redis caching, Databricks investigation, and monitoring.
2022 – 2023
Engineering Manager
Led teams delivering AI search and Web3 messaging products, pairing practical architecture and hands-on engineering work with planning, quality, release discipline, and cross-functional delivery.
2015 – 2022
Manager of Innovation
Built fraud detection, credit-risk, API, mobile, and cloud-native product initiatives across data platforms, machine learning, and customer-facing software.
2006 – 2017
Founder & product engineer
Delivered 40+ web and mobile applications across SaaS, ecommerce, media, AI-assisted consumer products, and rapid-response utility tools.
How I work
I make ownership, planning, quality, and delivery visible enough that teams can move quickly without relying on heroics.
Clear operating rhythms, better scoping, automated checks, and accountable handoffs help teams scale output before adding headcount.
I treat AI as software that has to be reliable, observable, secure, and economically defensible.
The work is not just model selection. It is evaluation, workflow design, cost control, monitoring, security review, and human-centered product judgment.
I connect technical decisions to customer urgency, revenue, adoption, and trust.
Strong product partnership keeps architecture, roadmap tradeoffs, security constraints, and delivery pressure pointed at the same business outcome.
I push for speed with discipline: stronger quality gates, tighter release habits, and pragmatic security judgment.
Teams earn speed by reducing ambiguity, catching defects earlier, and making customer-impacting risk explicit before it reaches production.
Technical writing
The gap between impressive AI demos and reliable production systems has never been wider. Engineering discipline — not model choice — determines outcomes.
A practical guide to testing, detecting, and reducing hallucinations when AI systems need to be trusted in production.
A breakdown of the best architecture patterns for building generative AI applications that actually scale beyond the demo stage.
Selected work
AI products, developer tooling, and SaaS experiments shaped by specific customer and engineering constraints.
Monitor LLM prompt behavior with scheduled checks and alerts when output meaning changes.
A shared workspace for teams to find, review, publish, and install AI skills.
Draft Mermaid and draw.io diagrams through conversation, then review each proposal before applying it.