Professional Summary
Senior Software Engineer with 7+ years shipping production software for
companies in the US, Norway, and Italy, currently building
revenue-driving telehealth features at Spring Health. Full-stack across
React/TypeScript, Ruby on Rails, and Python; former frontend team lead.
AI is part of how I build: Anthropic-certified Claude developer, running
my own LLM-powered product in production. Impact: ~$1M projected annual
revenue from a solo-built feature, +57% engagement lift through A/B
experimentation, and 80% lower testing infrastructure costs.
Professional Experience
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Own end-to-end delivery of provider scheduling features on a
telehealth platform, scoped directly with product and built solo
across React/TypeScript frontend and Ruby on Rails/GraphQL backend;
live in production for 1,000+ providers with projected ~$1M
incremental annual revenue
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Designed and ran A/B experiments, achieving +57% relative lift in
provider engagement and promotion to general availability
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Shipped reminder features across 4 surfaces of the provider app; built
an analytics pipeline joining Mixpanel, Snowflake SQL, and Python to
analyze feature engagement and conversion
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Own live-session bug triage and on-call for the in-house video
platform (Zoom Video SDK): rebuilt Datadog anomaly monitoring on
custom RUM metrics, root-caused production incidents, and drove the
open bug board to single digits
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Remediated a CVSS 8.6 CVE end to end beyond team scope, from discovery
to production upgrade
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Led a 3-person frontend team developing BI solutions for the oil &
gas industry, owning architecture decisions and delivery strategy
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Built the design system and component library in Storybook, with 90%+
test coverage across multiple products
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Cut testing infrastructure costs by 80% by replacing Chromatic with a
custom Playwright-based visual regression solution
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Architected end-to-end type safety with Elysia + Eden Treaty,
eliminating API contract bugs across the monorepo
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Built React/TypeScript/ECharts dashboards and Python backend services;
CI/CD on GitHub Actions and Azure DevOps
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Consultant on Procore's 20-year-old Rails/React enterprise
construction management platform, delivering critical features for
the budget management module
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Raised test coverage by 37% and cut module load time by 23% through
code splitting
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Led cross-team data exposure initiatives; integrated DBT for the
Reports team
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Won an internal hackathon with a landing page that reduced user
navigation by 30%
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Technical co-founder of a startup born from a Hacking.Rio 2019
finalist project (700+ participants); turned the concept into a
venture-backed startup in partnership with Vibra Energia S.A.
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Architected and built the full-stack product from zero, keeping
running costs low with serverless architecture and automated
pipelines
- Promoted from frontend to full-stack within 6 months
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Built a GraphQL API gateway unifying multiple backend services;
developed microservices with Node.js, React, and Ruby on Rails
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Architected event-driven automation with Azure Service Bus, replacing
manual ERP data entry
Selected Projects
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Liz, an AI receptionist on WhatsApp (founder, in
production since May 2026): answers a medical practice's patients,
transcribes voice notes, and books appointments against a real calendar;
105 appointments booked in its first 6 weeks, many after hours. Bun,
Hono, PostgreSQL, Claude, Whisper
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Hardware network offload on OpenWrt (2026, AI-assisted
embedded work): brought Qualcomm NSS offload to a Xiaomi AX6000 on Linux
6.18, root-caused and patched a DMA ring bug in the Ethernet driver, and
contributed the fix to the community NSS fork; real internet throughput
went from 37 to 800 Mbps
Technical Skills
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Languages & Frameworks: TypeScript, React, Ruby on
Rails, Python, Node.js, Bun, GraphQL, SQL
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AI & LLM: Claude API, tool use and MCP servers,
prompt and context engineering, guardrails; agentic development with
Claude Code and Pi, multi-agent orchestration; local and open-weight
models (GLM, Qwen, Gemma)
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Testing & Quality: Storybook, Playwright, Jest,
Cypress
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Infrastructure & Data: Docker, GitHub Actions, Azure
DevOps, AWS, Cloudflare, PostgreSQL, MongoDB, Snowflake, Datadog,
Mixpanel, LaunchDarkly
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Languages: Portuguese (native), English (fluent),
Spanish (advanced)
Education
Bachelor of Computer Science
UENF - Universidade Estadual Norte Fluminense, Brazil | 2018 - 2025 |
Thesis: comparative analysis of automatic keyword extraction algorithms
using NLP techniques
Stanford Code in Place 2020:
selected for Stanford's global programming course; final project featured
in the official gallery
Claude Certified Developer