Open to opportunities

Luiz Eduardo Ximenes Neto

@luizeduardoximenesne

Message

I build scalable Ruby on Rails, data, and AI products that solve complex public and business problems.

Brazil

Message

At Grupo Spezi, I lead architecture and technical delivery for 13+ products spanning SaaS, government systems, IoT, AI-powered solutions, and high-availability platforms.

I’ve built fiscal and public-sector data platforms that process more than 64 million Brazilian business records monthly, and OCR and NLP pipelines that process and index more than 1.2 million pages for INCRA projects. My work includes distributed systems, ETL pipelines, REST APIs, machine learning, real-time IoT data ingestion, and scalable application architecture.

I combine hands-on engineering with technical leadership, establishing architecture standards, code reviews, and development processes that reduced rework by approximately 50%.

Experience

Work history, roles, and key accomplishments

Current

Senior Full Stack Software Engineer

Current

Grupo Spezi

Aug 2021 - Present (5 years 1 month)

• Responsible for the architecture and technical leadership of 13+ products, including SaaS platforms, government systems, IoT applications, AI-powered solutions, and high-availability systems.
• Worked on projects focused on data engineering, distributed systems, NLP, OCR, Machine Learning, and scalable architecture.
• Designed, developed, and evolved solutions using Ruby on Rails, PostgreSQL, Re

Ruby on Rails PostgreSQL Redis Docker Vue.Js Flutter React Native Python fastAPI NLP OCR Machine Learning Data Engineering Distributed Systems Architecture

Full Stack Software Engineer

Grupo Spezi

Aug 2019 - Aug 2021 (2 years)

• Worked on data-driven solutions for the public sector, focusing on data engineering, automation, NLP, and Machine Learning.
• Designed and implemented ETL pipelines for the ingestion, normalization, and daily processing of large-scale public and fiscal datasets.
• Developed REST APIs with JWT authentication and RBAC authorization for system integrations and structured data delivery.
• Modeled an

Full Stack Software Engineering Intern

Grupo Spezi

Feb 2018 - Aug 2019 (1 year 6 months)

• Worked on the development of a platform focused on public procurement planning and analysis, emphasizing data search, automation, and integration with government systems.
• Developed backend solutions using Ruby on Rails, PostgreSQL, Redis, and Sidekiq.
• Implemented advanced search capabilities using Apache Solr for indexing and querying contracts, procurement notices, and public documents.
• D

Support Analyst

Algar Tech

May 2013 - Feb 2014 (9 months)

• Provided Level 1 and Level 2 technical support in a corporate environment, handling and resolving hardware, software, and network-related incidents.
• Installed, configured, and maintained operating systems, corporate software, and workstations.
• Performed troubleshooting and technical diagnostics to ensure operational continuity and minimize downtime.
• Supported internal users with infrastruc

Education

Degrees, certifications, and relevant coursework

Universidade de São Paulo (USP) - Escola Superior de Agricultura Luiz de Queiroz (ESALQ)

MBA, Data Science and Analytics

2024 -

Pursuing an MBA in Data Science and Analytics, covering topics such as data engineering, machine learning, and business intelligence.

MBA USP/Esalq

MBA, Data Science e Analytics

2024 - 2026

TRENDS IN DATA SCIENCE AND ANALYTICS
- Data Wrangling
- Spatial Statistical Analysis
- Trees, Networks, and Ensemble Models
- Introduction to Deep Learning
- Deep Learning
- Crawlers and Web Scraping
- Text Mining and Sentiment Analysis
- Operations Research, Optimization, and Simulation Models

DATA SCIENCE AND BIG DATA IN THE BUSINESS ENVIRONMENT
- Business Intelligence and Data Visualization
-