Work with me
I help companies turn AI capabilities into shipped products — from model integration and front-end architecture through billing, monetization, and production operations. Hands-on builder, not a slide-deck consultant.
15+ yrs
Shipping products
2 startups
Founded, one acquired
23M+
End users impacted
Product
Define what to build, who it is for, and how it compounds. Product strategy, roadmaps, prioritization, pricing, and GTM for AI-native products.
Aligns with: Product Manager / Director of Product, AI
Engineering
Front-end and full-stack architecture for AI-powered applications. Design systems, performance, GraphQL middleware, streaming UIs, and production-grade deployment.
Aligns with: Staff Engineer / Principal Engineer
Applied AI
Help small and mid-size enterprises build AI capabilities by composing LLMs, document intelligence, vector search, and agent workflows into production systems.
Aligns with: Applied AI Engineer / Solutions Architect
Founder
For early-stage teams that need a builder who can own product, architecture, hiring, and investor-ready demos. Two VC-backed startups, $3.3M raised, one acquisition.
Aligns with: CTO / Technical Cofounder
Experience
Real problems
These are the patterns I see over and over when companies try to ship AI products.
“We have AI models but no product around them”
I build the product layer — UX, billing, usage controls, onboarding — that turns a model into something customers pay for.
“Our front-end cannot keep up with the AI backend”
I architect streaming UIs, real-time dashboards, and design systems that make AI capabilities feel fast and polished.
“We want to use AI but do not know where to start”
I audit your workflows, identify the highest-value automation targets, build a proof-of-concept, and hand off a production roadmap.
“We need to monetize our AI features”
I design usage-based pricing, build metering infrastructure, and integrate billing so your AI capabilities generate revenue from day one.
“Our team ships slowly and the codebase is fragile”
I introduce architecture patterns, design systems, CI/CD improvements, and mentoring that let your team ship 2-3x faster with fewer regressions.
“We are pre-product and need a technical cofounder”
I take early-stage ideas from discovery through architecture, MVP, investor demos, and first customers. Two startups built, one acquired.
Deliverables
Specific outcomes backed by production track record, not abstract strategy.
Production-quality AI interfaces that showcase model capabilities to customers, investors, and internal stakeholders. Streaming responses, usage metering, multi-model switching.
Track record: Built the SambaNova AI Playground on RDU hardware with 50ms interaction latency.
Wire up OpenAI, Azure AI, Llama, DeepSeek, and custom checkpoints into your product. Prompt engineering, context window optimization, structured output parsing, and fallback chains.
Track record: Optimized 32K-token context windows, reducing OOM errors by 70% on inference hardware.
Extract, classify, and act on unstructured documents. Brokerage statements, tax forms, invoices, contracts. Turn PDFs into structured data your product can use.
Track record: Embedded Azure Document Intelligence at Fidelity, driving 12% increase in feature engagement.
Metering, pricing tiers, per-tenant token tracking, Stripe integration, and real-time cost dashboards. The boring plumbing that turns AI demos into AI businesses.
Track record: Built async billing backend with Stripe usage-metering and per-tenant observability at SambaNova.
React, Next.js, Angular, TypeScript. Mono-repo architecture, component libraries, performance optimization, accessibility. The foundation that lets product teams ship fast.
Track record: Improved Fidelity portfolio page load from 5.0s to 1.8s, serving 23M retail investors.
For companies that know they need AI but do not know where to start. Audit current workflows, identify high-value automation candidates, build proof-of-concepts, and define the rollout path.
Track record: Helped multiple organizations connect AI enthusiasm to measurable outcomes via EconaAI.
Process
Every engagement follows the same rhythm — but the scope scales to what you need. From a two-week architecture sprint to an embedded six-month build.
01
Map your workflows, constraints, team shape, and the measurable outcome you need. Typically one to two focused sessions.
02
Define the smallest high-value path to production. System design, technology choices, integration points, and a phased delivery plan.
03
Ship with your team — hands-on code, code reviews, pairing, and technical decisions. I write production code, not slide decks.
04
Turn engagement learnings into reusable assets: design systems, playbooks, hiring profiles, and architecture documentation that outlast the engagement.
Stack
I am currently taking on select engagements for Q3/Q4 2026. Best fit: companies with an AI product idea (or a model) that need a senior builder to take it from architecture to production. Tell me what you are working on and I will respond within 24 hours with whether I can help and a rough scope.
Newsletter
Occasional essays on AI, developer relations, and platform strategy. No spam — just signal.