React & Next.js specialist · End-to-end systems
I'm Anderson, a Software Engineer with specialist-level depth in React and Next.js. I spend most of my time on the product surface—and I still build the APIs, integrations, workflows, and cloud systems behind it.
Industry experience
Instantly.ai
Currently Software Engineer at Instantly.ai. I go deep on React and Next.js: the visual automation builder, undo/redo, multi-condition logic, and Copilot workflows powered by LLMs. I also own the systems behind those surfaces—Node.js, Fastify, OAuth, webhooks, MongoDB, and CRM integrations across HubSpot, Salesforce, and Pipedrive.
Deel
Shipped React and TypeScript product journeys for global payroll and HR: multi-step entity onboarding, self-service payroll corrections, and calendar activation. Owned the customer experience and the supporting Node.js and Prisma workflows, with Vitest, React Testing Library, and Playwright covering the high-risk paths.
Wellhub formerly Gympass
Rebuilt the homepage and blog in Next.js and TypeScript with SSR, SSG, and ISR. Behind that, I built the GraphQL BFF, a Go image service on AWS, and Terraform-backed deployments. Specialist frontend work with hands-on systems delivery.
Selected projects · 2026
Three working products spanning payroll operations, marketing, and health—each shaped end to end around a real workflow and measurable product clarity.
Payroll operations · Validation & calculation
An end-to-end payroll operations product that turns raw payroll files into a controlled, reviewable pay run—validating employee data early so teams can resolve risk before it becomes a payday exception.
Designed and implemented the product flow, API workflow, Redis-backed BullMQ queue, and worker service. Payroll calculation runs in parallel off the request path, while operators can follow status as the run completes asynchronously.
Core stack
Marketing campaigns · Strategy & AI
Lean marketing teams rarely lack ideas; they lack a shared point of view strong enough to align a launch. Cadence turns scattered context into a campaign direction the team can rally around—helping marketers reach consistent messaging, test assumptions earlier, and move into execution with confidence.
Schema-strict generation turns a single brief into positioning, channel messages, and an experiment plan the interface renders directly—running on an encrypted, user-supplied key.
Core stack
Health agent platform · Multi-agent orchestration
Care teams read the same intake again and again, each looking for something different—and what matters most is often the context the note never mentions. ClarisynOS lets a team compose its own specialist agents, run them in parallel over one de-identified intake, and read a single explainable brief—surfacing the urgency signal, the questions still open, and exactly which specialist raised what.
Every specialist runs in parallel and a synthesizer merges their reports, streamed to the interface as each one lands—while the intake text itself is never written to the database.
Core stackWhat I bring
Specialist-level React and Next.js, with hands-on experience owning the APIs, data, cloud, and AI workflows behind the product.
Specialist-level React: complex product UIs, state, validation, undo/redo, and the interaction details that make SaaS feel reliable in production.
Specialist-level Next.js: App Router, SSR, SSG, ISR, and rendering strategy chosen for SEO, performance, and the product surface in front of the user.
Not only the interface. Hands-on delivery of APIs, OAuth, webhooks, data models, workers, and the workflows that sit behind a React product.
Shipping past local development: AWS services, Terraform, CI/CD, and the operational path that keeps a product deployable and maintainable.
Building LLM-powered product features in React—streaming tool calls, human approval, recovery—and using agents as leverage without outsourcing judgment.
AI-assisted, human-directed
At Instantly I ship LLM-powered Copilot features in React—streaming tool calls, validation, and human approval. I also use Claude and Codex as engineering leverage: faster exploration, tighter feedback, more time on the product decisions that matter.
01Shape the React experience
02Wire the tools and APIs
03Stream, validate, recover
04Keep a human in the loop
Core toolkit