Luiz Ximenes

Professional with over 8 years of experience in Software Engineering, Systems Architecture, and Data Engineering, working on the development of SaaS platforms, government systems, IoT solutions, data-driven applications, and Artificial Intelligence products. Solid experience in highly complex technical environments, contributing to projects in government, healthcare, agribusiness, tax analysis, and digital transformation sectors. Advanced English proficiency and international experience through an academic exchange program in Australia.

Strong expertise in Ruby on Rails, PostgreSQL, Redis, Docker, REST APIs, CI/CD, OCR, NLP, Machine Learning, scalable architecture, and distributed systems. Relevant experience in technical leadership, architecture design, engineering process structuring, systems integration, and development of solutions focused on high performance, scalability, and reliability. Working with:

• Scalable systems architecture for SaaS platforms, government applications, and data-driven solutions.
• Backend and Full Stack development using Ruby on Rails, Vue.js, Flutter, React Native, Python, and FastAPI.
• Data engineering, ETL processes, and automation for processing large volumes of public and private data.
• Development of OCR + NLP pipelines for large-scale document extraction, classification, and indexing.
• Implementation of Machine Learning solutions applied to data analysis, automation, and irregularity detection.
• Design of distributed systems, messaging solutions, asynchronous processing, and high-availability architectures.
• Technical leadership, code review, architecture standards definition, and engineering best practices.
• Structuring and standardization of the software development lifecycle, CI/CD, deployment automation, and observability.
• PostgreSQL and Redis database modeling and optimization focused on performance and scalability.
• Development of integrations between government systems, external APIs, and enterprise platforms.
• Development of offline-first mobile applications for field data collection and remote operations.
• Participation in digital transformation and technology modernization projects for public and private organizations.

In my most recent professional experiences, I achieved the following results:

• Achieved an approximately 98% reduction in query response time for public procurement systems, decreasing searches from 13 seconds to around 150 milliseconds through the implementation of Apache Solr.
• Developed platforms capable of processing more than 64 million Brazilian company records (CNPJs) monthly, integrating data from multiple government and private sources.
• Structured OCR and NLP pipelines responsible for processing and indexing over 1.2 million pages in nationwide INCRA projects.
• Participated in the architecture and evolution of more than 15 digital products, including SaaS platforms, offline-first mobile applications, IoT systems, and Artificial Intelligence solutions.
• Provided technical leadership across more than 13 simultaneous products, contributing to architecture definition and technological evolution.
• Reduced rework by approximately 50% through the standardization of the software development lifecycle and engineering processes.
• Developed real-time ingestion systems with an average latency of approximately 200ms for IoT and wearable platforms.
• Implemented Machine Learning and automation solutions for intelligent document classification and irregularity analysis in public procurement processes.
• Structured ETL pipelines integrating government data sources such as Comprasnet, AGU, TCU, Receita Federal, and SERPRO.
• Developed high-availability applications focused on tax analysis, intelligent monitoring, and automation of critical processes.