Ítalo
Guimarães.

Senior Software Engineer — Remote — Brazil

• Build AI agent tooling (LangGraph, ReAct, MCP) integrated with internal platform services and data pipelines, designing clear service boundaries, retry/fallback strategies, and observability for production-grade agentic workflows.
• Lead technical design reviews and code reviews, mentoring engineers on Spark performance tuning, data modeling trade-offs, and scalable design patterns.
• Implement CI/CD workflows for pipeline code and infrastructure artifacts, enabling safe, reproducible deployments with automated testing and quality gates across environments.

Data Engineer — Industrial IoT — Remote — Brazil

• Built production Python-based data ingestion pipelines for structured and unstructured sensor data generated by industrial equipment monitoring devices (vibration, temperature, current, runtime telemetry).
• Integrated MongoDB as the primary operational source, extracting heterogeneous equipment telemetry and event data and loading it into ClickHouse (optimized for high-frequency time-series queries) and PostgreSQL for operational analytics.
• Orchestrated Python extraction and ingestion scripts for scheduled and event-driven data flows, ensuring reliable, low-latency processing of high-frequency industrial sensor readings in production at scale.

Software Engineer — Remote — Brasília, DF, Brazil

• Automated CI/CD workflows via GitLab for infrastructure and code artifacts; implemented schema migration tooling and multi-environment deployments.
• Developed a Django REST API serving as the data access layer, abstracting storage complexity behind clean, versioned interfaces consumed by internal product teams and government partner integrations.
• Designed service architectures with microservices patterns, integrating components via synchronous and asynchronous message exchange; deployed applications on Kubernetes with CI/CD via GitLab.

Software Engineer (Data) — Remote — São José dos Campos, SP, Brazil

• Led the Data Ecosystem initiative: designed raw-to-refined Data Lake zones (raw, trusted, refined) ingesting operational manufacturing data from heterogeneous sources (SQL Server, Oracle, SAP, GCP databases) using PySpark, NiFi, and Airflow across AWS and GCP.
• Built analytical dashboards in Power BI for IT teams (Service, Quality, Delivery, Costs); automated KPIs, spreadsheets, and management systems; administered Power BI capacity.
• Applied DevOps practices for production reliability and monitoring; managed relational and non-relational data across SQL and NoSQL stores.

Software Engineer (Contract) — Remote — Brazil

• Developed the Schedula project using agile methodologies (Lean Inception, Scrum, XP); collaborated with clients on system requirements and results validation.
• Built backend microservices with TypeScript, NestJS, and PostgreSQL; implemented CI/CD pipelines and Docker containerization; developed frontend with React and Vue.
• Delivered training to students on software development methods covering Git/GitHub, Docker, and Front-end/Back-end development.

Software Engineer (Intern) — Brasília, DF, Brazil

• Managed Oracle databases and developed enterprise Oracle APEX applications; optimized relational schemas and query performance for internal government audit systems.
• Developed and corrected JavaScript code for UI/UX improvements and front-end functionality.

Computer Vision Researcher — Brasília, DF, Brazil

• Developed and researched predictive models for road lane detection using convolutional neural networks and deep learning in the CARLA autonomous driving simulator; applied data mining and analysis techniques.