Full Stack Engineer

Daniel NieBraz

Production-grade platforms end to end.

I'm a full stack engineer focused on building production-grade web platforms end to end: frontend, backend, data layer, deployment, and continuous operation. I work mainly with Next.js, Node.js, Elysia, Python, and AI integration (OpenAI / Azure OpenAI) to automate analysis, triage requests, and augment user support in high-impact environments like government services, smart city initiatives, and citizen-facing portals.

I design and implement Server-Side Rendering architectures to improve first paint, perceived performance, and SEO. I also build Backend-for-Frontend (BFF) layers to isolate public-facing frontends from legacy internal systems and to expose stable, minimal, secure contracts to the client. I maintain build pipelines using modern bundlers and transpilers to guarantee predictable deploys and fast load times.

I design full product flows: authentication, AI-assisted onboarding and moderation, form analysis, service routing, admin dashboards, and communication back to the end user. I ship working systems in production, not just prototypes.

Start a projectDownload résumé

About

I create production-grade civic platforms that balance service design, accessibility, and cloud-native foundations. I enjoy orchestrating discovery rituals, translating insights into technical direction, and backing every release with instrumentation and feedback loops.

Beyond delivery, I help squads adopt accessible design systems, coordinate multi-disciplinary roadmaps, and keep long-term maintenance realistic. My toolset spans product strategy, frontend architecture, and automation so teams can iterate with confidence.

Now

Consulting on public-sector platforms, AI-assisted workflows, and knowledge bases for distributed teams.

Open to collaborations on open data, civic engagement, and independent products like Club Campfire.
Experience

Select roles

PRODAM – São Paulo ICT Company

Full Stack Engineer (Formerly Frontend Developer · CIT Analyst I)

Oct 2014 — Present · São Paulo, Brazil · Hybrid

Joined PRODAM in 2014 as a frontend engineer and progressed to lead SSR platforms, BFF layers, AI integrations, and accessibility programmes for São Paulo’s civic services.

  • Designed and implemented a Backend-for-Frontend (BFF) between Next.js and internal services (Python/Elysia), encapsulating sensitive rules and exposing a stable client contract.
  • Implemented Server-Side Rendering with targeted caching, reducing first response time and improving experience on low-end devices and constrained mobile networks.
  • Built and maintained build/deploy pipelines (bundlers, tree shaking, asset optimisation) to guarantee predictable releases and fast load.
  • Integrated OpenAI / Azure OpenAI models for automated applicant review, request triage, and assisted moderation in near real time.
  • Delivered high-accessibility, high-clarity interfaces for critical public services, ensuring usability and compliance.
  • Earlier tenure: delivered HTML/CSS/JS apps, collaborated closely with designers, resolved legacy issues, prototyped new solutions, and bridged frontend/backend integration.
  • Researched emerging tooling to guide municipal digital product roadmaps and elevate internal practices.

Instituto Butantan

Web Designer

2013 — 2014 · São Paulo, Brazil

Refreshed the institute's digital presence with responsive layouts, structured publishing, and accessible navigation.

  • Launched the new institutional website with inclusive IA and component-driven layouts.
  • Integrated CMS workflows that reduced handoffs between editorial, research, and communications teams.

Teleperformance · SKY Brasil

Web Designer

2010 — 2013 · São Paulo, Brazil

Built partner-facing portals, sales collateral, and support experiences backing SKY Brasil's service operations.

  • Delivered the GPP Portal redesign, increasing clarity for partner support processes.
  • Produced visual campaigns, microsites, and motion assets aligned with marketing initiatives.
  • Maintained design standards and documentation for distributed squads.
Projects

Case studies & independent work

GitHub

PRODAM — Citizen Services Frontend Modernization (SSR + BFF)

Situation

Legacy citizen-facing frontend was client-side rendered, slow on mobile networks, coupled tightly to legacy backends, and risky to deploy.

Task

Deliver a faster, safer, and maintainable frontend with server-side rendering and a Backend-for-Frontend layer without interrupting service.

Actions

  • Built Next.js SSR with route-level caching and stale-while-revalidate, compressing assets and providing HTTP/2 push alternatives.
  • Implemented an Elysia/Node BFF mediating UI calls to Python and legacy services with minimal, stable contracts.
  • Standardised the build pipeline (bundling, tree-shaking, minification), linting, type-safe APIs, and CI/CD with blue-green deploys.
  • Instrumented real-user monitoring for TTFB, FCP, CLS and introduced automated accessibility checks.

Results

  • Lower first paint on low-end devices and improved crawlability verified with Lighthouse and WebPageTest.
  • Safer integrations with legacy backends through the BFF with fewer production incidents.
  • Repeatable deploys, faster rollback, and higher developer velocity.

PRODAM — Municipal Legislation Portal (Flask + MongoDB)

Situation

Static, fragmented legislation content created ingestion pain, slow search, and heavy editorial workload.

Task

Consolidate ingestion, modernise the portal, and deliver fast search with stable public APIs.

Actions

  • Rebuilt the portal with Flask and MongoDB, adding ingestion and normalisation jobs for heterogeneous sources.
  • Implemented full-text search with tuned analyzers, facets, and filters, plus REST endpoints for consumers.
  • Automated publishing and scheduled re-indexing with audit logs for editorial changes.

Results

  • Fresh, searchable legislation content with reduced manual effort for editors.
  • Higher public uptime and improved query responsiveness, unlocking cleaner downstream integrations.

PRODAM — Argos (AI RAG Search over Municipal Data)

Situation

Staff and citizens spent too much time finding answers across scattered municipal documents and datasets.

Task

Build an AI-assisted retrieval system with grounded answers, safe prompts, and auditable traces.

Actions

  • Ingested heterogeneous data into Azure AI Search with embeddings, metadata filters, and recency boosts.
  • Implemented retrieval-augmented generation with citation surfaces, prompt templates, guardrails, and latency budgets.
  • Added audit logs per answer, governance, and red-team prompts for failure testing.

Results

  • Faster information retrieval for internal teams with cited, grounded answers.
  • Clear path to production with governance and measurable latency/cost envelopes.

PreCast — Intelligent Municipal Operations (Next.js + Bun + Elysia)

Situation

Municipal squads lacked a unified workspace to monitor services, automate triage, and coordinate field teams in real time.

Task

Build a smart-city management console that merges service data, AI insights, and actionable workflows.

Actions

  • Shipped a Next.js front-end backed by Bun/Elysia APIs orchestrating service metadata, routing tables, and incident signals.
  • Integrated Azure OpenAI to classify inbound requests, suggest playbooks, and summarise daily operations for leadership.
  • Designed operator-focused dashboards with role-based access, audit trails, and automations that update downstream portals.

Results

  • Unified view of municipal operations with faster routing of citizen demands.
  • AI-assisted summaries and triage reduced manual overhead for service desks.

SPCity / Atlas — Smart-City Citizen Portal

Situation

Citizens struggled to discover and navigate municipal services scattered across multiple properties.

Task

Create a unified, performant, mobile-first portal with clear routing and multilingual support.

Actions

  • Built a Next.js app with SSR, internationalisation, and map-centric discovery tied to BFF contracts.
  • Added PWA capabilities and offline-first patterns for critical journeys with drop-off analytics.
  • Implemented accessibility patterns including keyboard paths, contrast, and semantic landmarks.

Results

  • Clearer service discovery and fewer dead ends, especially on constrained devices.
  • Foundation for multi-tenant rollout to additional regions.

Club Campfire — Community Management with AI Triage (Next.js + Elysia)

Situation

Community moderators spent excessive time reviewing applications and applying policies manually.

Task

Automate first-pass triage while keeping transparency and human oversight.

Actions

  • Built a Next.js frontend with Elysia/Node backend on Postgres, including RBAC, audit logs, and moderation queues.
  • Integrated Azure OpenAI for assisted scoring and policy checks with explainable outputs and human overrides.
  • Added rate limiting, webhooks, background jobs, CI/CD, and observability.

Results

  • Lower moderator workload per applicant with faster decisions and auditable justifications.
  • Consistent policy enforcement and reduced manual error.

MolecularAnalyzer — Orthomolecular Analysis SaaS

Situation

Practitioners needed structured intake and consistent AI-assisted analysis while maintaining compliance and trust.

Task

Deliver a secure, explainable workflow from intake to recommendation drafts and export.

Actions

  • Implemented structured forms, validation, and evidence-linked prompts generating clinician-editable drafts.
  • Added data segregation, encryption, role-based access, and audit capabilities.
  • Shipped exports (PDF/CSV) and admin tooling for taxonomy and version control.

Results

  • Faster case preparation with consistent outputs and clear disclaimers.
  • Solid base for future regulatory and billing integrations.

DevOps Enablement — Azure & Hostinger

Situation

Manual deployments and configuration drift caused downtime and slowed iteration.

Task

Standardise build and release processes with safe rollouts and monitoring.

Actions

  • Containerised services where appropriate and created GitHub Actions pipelines with build caching and environment gates.
  • Implemented blue-green and canary strategies with health checks, structured logs, and alerting.
  • Externalised configuration, managed secrets, and produced runbooks for incident response.

Results

  • Predictable deployments and faster recovery with fewer regressions from environment drift.
  • Clear operational playbooks enabling small teams to ship confidently.

Security & Privacy Hardening (BFF + PII Minimisation)

Situation

Direct frontend calls to internal systems leaked complexity and increased risk exposure.

Task

Reduce attack surface and standardise PII handling across surfaces.

Actions

  • Forced all client traffic through the BFF with schema validation, allow-lists, and uniform error envelopes.
  • Minimised PII sent to the client or AI flows with tokenisation, redaction, and retention policies.
  • Added WAF rules, rate limiting, abuse detection, and continuous dependency scanning.

Results

  • Smaller, controlled public API surface with fewer security incidents.
  • Easier compliance posture and safer AI integrations.

Accessibility & Performance Program

Situation

Citizen-facing apps must stay usable on low-end devices and poor connectivity while supporting assistive tech.

Task

Raise the performance and accessibility baseline across properties.

Actions

  • Added automated accessibility checks (axe, pa11y) plus manual audits, defining contrast and focus standards.
  • Budgeted performance metrics (bundle size, image policy, TTFB targets) with dashboards and regression alerts.
  • Trained teams and embedded checklists into CI pipelines.

Results

  • Fewer accessibility regressions and consistent experiences across devices.
  • Performance improvements visible in real-user metrics and support feedback.
Skills

End-to-end coverage

Frontend & Delivery

  • Next.js (App Router)
  • React Server Components
  • Tailwind design tokens
  • Progressive enhancement
  • Performance budgets

Backend & Platform

  • Elysia · Bun
  • Node.js
  • Python
  • BFF / API Gateway
  • Observability & incident response

Product & Collaboration

  • Service design facilitation
  • Discovery & roadmapping
  • AI-assisted workflows
  • Accessibility advocacy
  • Stakeholder alignment