Official profile

Media Kit

Official reference for Patrick Araujo / PkLavc: bios, positioning, links, project context, public assets, and attribution notes for collaborators, partners, recruiters, and press-style mentions.

Identity

Patrick Araujo public profile artwork

Patrick Araujo / PkLavc

  • Professional titleBackend Software Engineer focused on applied AI, API integrations, automation, data pipelines, and internal platforms.
  • Public descriptorBrazil-based software engineer building systems that reduce manual work, improve data reliability, and make operational workflows easier to audit.
  • Preferred namingUse Patrick Araujo for professional references and PkLavc when referencing the portfolio, GitHub identity, or project namespace.
  • Professional contact[email protected]

Reusable Bios

One-line Bio

Patrick Araujo is a backend software engineer focused on applied AI, automation, API integrations, data pipelines, and internal platforms.

ShortProfile

Short Bio

Patrick Araujo builds backend systems, AI assistants, RAG workflows, API integrations, automations, and operational data pipelines for business teams that need reliable internal software.

BackendAIAutomation

Long Bio

Patrick Araujo, also known as PkLavc, is a backend software engineer focused on applied AI, software architecture, API integrations, automation, ETL pipelines, and internal platforms. His work combines Python, FastAPI, Node.js, TypeScript, SQL, Cloudflare Workers, PostgreSQL, Supabase, GitHub Actions, RAG, LLM integrations, dashboards, and process automation to turn manual operational flows into traceable software systems.

SystemsRAGData

Fast Facts

25+Internal tools delivered across operations, support, inventory, data analysis, and workflow control.
35-40%Approximate API response time improvement from backend optimization and execution control.
40%Approximate reduction in data processing time across operational reporting routines.
3h/dayManual reporting work removed per analyst through scheduled automations and integrations.

Focus Areas

Backend Platforms

FastAPI, Node.js, TypeScript, SQL, PostgreSQL, Supabase, API integrations, webhooks, workers, validation layers, reprocessing flows, and operational CRUD systems.

BackendAPIsSQL

Applied AI

RAG assistants, contextual search, LLM integrations, vector memory, prompt boundaries, provider fallback, AI automation, and internal support workflows.

AIRAGLLM

Automation and Data

ETL pipelines, scheduled jobs, reporting datasets, BI dashboards, Zoho, Omie, SIGE, Hablla, Zenvia Voice, Google Sheets, and cross-system synchronization.

ETLAutomationBI

Reliability and Delivery

GitHub Actions, Cloudflare Workers, D1/KV, Docker, cache-busting, static deploys, logs, observability, privacy-aware analytics, and operational status pages.

CI/CDWorkersReliability

Selected Project Context

Lavc Systems

A local-first AI operations platform with FastAPI, React, RAG, vector memory, multi-agent orchestration, task Kanban, execution queues, logs, and traceability.

AI PlatformRAGInternal Tools

Skyler Assistant

A portfolio assistant using intent-aware retrieval, cached site context, manual RAG, Cloudflare Workers, D1/KV, sessions, and LLM provider fallback.

ChatbotCloudflareRAG

API Integration Pipeline

Operational integrations for collecting, normalizing, persisting, and synchronizing data across CRM, ERP, telephony, financial, inventory, and reporting systems.

APIsETLSupabase

Visitor Map

Privacy-minded anonymous analytics for showing aggregate countries, regions, and access patterns without exposing personal visitor data.

AnalyticsPrivacyMap

Public Assets

Profile Artwork

Public profile image used across the site and identity pages.

Open Graph Image

Default share image for pages that do not have a more specific preview asset.

Brand Marks

Root icons and favicon assets used by browsers, manifests, and social previews.

Machine Context

Structured public context for AI crawlers, search, and portfolio references.

Official Links

Attribution Notes

  • NameUse Patrick Araujo for professional references; PkLavc can be used for GitHub, project, or portfolio references.
  • ContactUse only the public professional email listed on this page for outreach.
  • ContextWhen mentioning projects, link to the canonical project page or to https://pklavc.com/projects/.
  • ScopeDo not present certifications as employment; they are study and credential records.