Product engineer · Design engineering
I'm Anderson, a product engineer focused on frontend and design engineering. I turn complex product problems into clear, expressive experiences—and understand the systems, data, and delivery behind them.
Industry experience
Epic Games
Led frontend engineering for a high-throughput event-processing platform, turning Databricks-backed data flows into a fast, understandable product. Shaped a scalable Next.js and TypeScript architecture with Server Components, streaming, server-side rendering, SWR, and Tailwind—keeping complex operational data responsive and clear.
Deel
Built polished payroll experiences across onboarding and core workflows for US customers, and contributed to the systems teams use to identify and process corrections. Worked across React, TypeScript, React Query, Node.js, and frontend architecture to make complex payroll states clear, resilient, and safe to change.
Wellhub formerly Gympass
Helped revamp Wellhub's public website and complete editorial blog experience. Built with Next.js and TypeScript on a BFF and GraphQL foundation, including Google Maps API integrations that connected digital journeys to real-world wellness options across markets.
Selected projects · 2026
Three working products spanning operations, marketing, and health—each shaped end to end around a real workflow and measurable product clarity.
Payroll operations · Async processing
A payroll operations product that replaces fragile spreadsheet handoffs with validated CSV imports, parallel calculations, visible queue health, and clear exception handling—helping finance teams process pay runs faster and with more confidence.
Marketing intelligence · AI agent
An AI campaign workspace that turns scattered launch inputs into a shared strategy, channel-ready creative, message-market fit signals, and prioritized experiments—helping marketing teams move from brief to confident execution.
Clinical navigation · Explainable AI
A clinical navigation product that structures unstructured intake notes into explainable care briefs, urgency signals, follow-up questions, and next-step plans—reducing review friction while keeping clinical judgment visible.
What I bring
My best work happens where product, design, engineering, and emerging AI workflows overlap.
Owning the path from an ambiguous product idea to a clear, shipped experience—making pragmatic decisions across design, frontend, APIs, data, and delivery.
Building expressive, durable interfaces with a sharp eye for hierarchy, interaction, accessibility, performance, and the small states that make software feel complete.
Using agents as serious engineering collaborators—from fast product exploration and implementation to code review, debugging, documentation, and delivery acceleration.
AI-assisted, human-directed
I use Claude and Codex throughout the software lifecycle—not as shortcuts, but as leverage for deeper exploration, faster feedback loops, stronger implementation, and more time focused on the decisions that make a product distinct.
01Understand the product intent
02Explore the interaction model
03Build the smallest coherent system
04Test, critique, and refine
Core toolkit