Nickolas J. S. Livero

Full Stack Software Engineer - Backend - Cloud - Automation

Nickolas Livero

I build production web, backend, and automation systems with TypeScript, Python, Flutter, and AWS. I am focused on full stack/backend roles where delivery, reliability, and business automation matter.

Open to remote full stack/backend roles, UTC-friendly, based in Brazil

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4+ years software, backend, cloud, and product delivery
400+ checks automated across validation and release workflows
60-70% manual work reduction in validated workflows

Selected Work

Primary proof of production ownership, business automation, cloud delivery, and technical range.

Production - Cloud - Full Stack

PEDLOG Payroll and Administrative System

Built and deployed a production administrative system for a transportation company, covering frontend, backend APIs, database infrastructure, DNS, CDN, load balancing, AWS operations, reporting, and production support.

Impact: moved payroll/admin work into a live production workflow and reduced manual administrative effort in validated flows by up to 60-70%.

Flutter WebAPIsDatabaseAWS ECSECREC2CloudFrontALB

Open live system

Backend - Tests - Business Rules

iCheck/PEDLOG Backend

Worked on backend APIs for administrative and payroll workflows using documented REST endpoints, relational data, automated tests, mocks, and business-rule validation.

Impact: reduced change risk by making payroll/admin rules explicit, documented, and covered by API-level tests.

ExpressTypeScriptPostgreSQLKnexSwagger/OpenAPIJestSupertestAWS S3

See delivery context

Android Distribution - Backend - Internal Tooling

i-repos Android Distribution Hub

Building an internal Android app distribution and validation hub for apps, versions, rollouts, devices, artifacts, and authentication, connecting backend APIs with administrative workflows and Android tooling.

Impact: creates a safer internal path for Android tablet app updates, version control, and rollout validation.

NestJSSwaggerJWTPrismaTypeScriptAndroidKotlinGradle

See technical focus

B2B - ERP - Software House

IPENA Consultoria Website

Delivered the institutional website for a B2B industrial software house focused on TOTVS Protheus consulting, API integrations, ERP support, and custom software.

Impact: gave the company a clearer B2B sales surface for ERP consulting, API integration, and custom software work.

Next.jsSEOB2BAWS S3Route 53ERP Context

Open live website

Additional proof: AI, infrastructure, research, and experimental tooling

Applied AI - Accessibility - Research

Voice and LLM-Based Assistant

Published SBIE 2024 research on an assistant designed to support visually impaired students using voice interaction and LLM-based workflows.

Impact: peer-reviewed proof of applied AI, accessibility, and technical communication.

LLMsVoice UXAccessibilityResearchEducation

Read publication

Generative AI - WhatsApp - Confidential

AI Bot Automation Workflows

Short confidential freelance engagement building WhatsApp automation flows with LangGraph, LangChain, agents/tools, RAG, fallback handling, and Gemini/OpenAI API workflows. Source code and client details are private.

Impact: practical exposure to agent workflows and AI automation in a client context.

LangGraphLangChainAgentsToolsRAGFallbackGeminiOpenAI

See technical focus

Self-hosted - DevOps - Cost Reduction

Homologation Infrastructure

Built a low-cost homologation environment using a repurposed notebook server, Ubuntu Server, Docker containers, Tailscale VPN, AWS EC2 routing, Route 53 DNS records, and Nginx reverse proxy. Enabled client validation without duplicating AWS production costs or exposing the home network.

Impact: enabled validation while avoiding duplicated cloud infrastructure costs.

AWS EC2Route 53TailscaleNginxDockerUbuntu ServerDNSHardware

See delivery context

Experimental Tooling - ERP Context - Automation

Protheus/TOTVS MCP Tooling

Experimental MCP/TOTVS tooling project exploring ERP-adjacent automation, Protheus support workflows, developer operations, and AI-assisted command interfaces. Built as a personal learning and prototyping project, with focus on integration patterns, tool design, and practical business automation.

Impact: exploratory integration practice for ERP-adjacent automation and developer tooling.

MCPPythonTOTVS ProtheusAutomationDeveloper Tools

See technical focus

Experience

Hands-on engineering across production delivery, automation, cloud deployment, QA pipelines, and research prototypes.

Full Stack Software Engineer and Cloud Developer - IPENA Consultoria / Independent Contractor

  • Built production web and administrative systems for B2B operations, including backend API work, cloud deployment, test coverage, and API integration.
  • Worked with Express/TypeScript/PostgreSQL/Knex and NestJS/Prisma backends, Swagger/OpenAPI documentation, JWT flows, Jest, ts-jest, Supertest, and business-rule validation.
  • Delivered AWS-backed and self-hosted infrastructure using ECS, ECR, EC2, S3, Route 53, CloudFront, Application Load Balancer, Docker, Ubuntu Server, Nginx reverse proxy, Tailscale VPN, DNS, and Linux workflows.
  • Configured a low-cost homologation environment using a repurposed notebook server, EC2 routing, Route 53 subdomain records, Docker containers, and reverse proxy access without exposing the home network.
  • Maintained practical hardware/software environments, including RAM, CPU and SATA SSD upgrades, Linux/Windows setup, and installer packaging experience with Inno Setup.
  • Integrated APIs and business data flows for ERP-adjacent industrial operations, reducing manual client work by up to 70%.

Python QA Automation and AI Intern - INDT

  • Developed Python automation pipelines for mobile systems, regression testing, exploratory testing, and validation workflows.
  • Automated 400+ test cases and internal processes, reducing manual testing effort by 60%.
  • Worked with pytest, UI Automator XML inspection, ADB, Android Studio, introductory AOSP exposure, Cypress, Jenkins, Gerrit, Azure DevOps, and AI models for analysis, classification, and QA validation tasks.

R&D Scholarship Holder - Embedded Systems - UEA

  • Migrated legacy Android applications from Java to Flutter and delivered two functional cross-platform prototypes.
  • Built React.js dashboards integrated with Python computer vision modules for industrial monitoring contexts, using academic/R&D foundations in NumPy, Pandas, TensorFlow/Keras, confusion matrix, classification, and model validation.

Technical Focus

A practical full stack/backend base with supporting depth in automation, Android QA, cloud deployment, and cross-platform product work.

Full Stack Engineering

  • Flutter, Dart, React, Next.js, TypeScript, JavaScript, Tailwind CSS, HTML, CSS
  • Python, FastAPI, Flask, SQLAlchemy, Django exposure, Node.js, NestJS, Express.js, Swagger/OpenAPI, JWT, Prisma, Knex, Java, Kotlin, Gradle exposure, C++, PostgreSQL, MySQL
  • REST APIs, Jest, ts-jest, Supertest, Swagger/OpenAPI, authentication, API integrations, Git, pull requests, advanced Git, Scrum, Kanban, Agile, business automation

Cloud and Reliability

  • AWS ECS, ECR, EC2, S3, Route 53, CloudFront, Application Load Balancer, DNS, subdomains
  • Docker, Docker Compose, Linux, Ubuntu Server, Nginx reverse proxy, Tailscale VPN, self-hosted homologation, PowerShell
  • Android Studio, ADB, UI Automator, introductory AOSP exposure, Cypress, Jenkins, Gerrit, Azure DevOps, regression pipelines, hardware troubleshooting

Automation and Validation

  • Python automation, pytest, Android validation workflows, UI Automator XML inspection, ADB, Android Studio, introductory AOSP exposure, data processing, SQL querying, and classification
  • LLM-assisted workflows, prompt engineering, LangChain, LangGraph, agents/tools, RAG, fallback handling, OpenAI/Gemini API workflows, documentation workflows, and applied AI experiments
  • Experimental MCP/TOTVS/Protheus personal tooling and SBIE 2024 research involving voice and LLM-based accessibility

Proof Points

Short, defensible signals for recruiters and technical interviewers.

Production and infra ownership

Owned architecture, implementation, deployment, DNS, cloud configuration, self-hosted environments, and production support for real business systems.

Business impact

Reduced manual work in validated workflows through automation, API integration, and production software delivery.

Remote readiness

Advanced English, international interview experience, technical writing, async-friendly communication, and backend/full-stack delivery with API documentation, tests, cloud deployment, and production support.