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Thiago Gomes

Thiago Gomes

Senior Software Engineer - Cloud Infrastructure & DevOps

NETHERLANDS flag
Eindhoven, Netherlands
$20.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Label Types

Classification
Computer Programming Coding

Freelancer Overview

With over 10 years of experience as a software engineer and a strong background in cloud platforms and scalable backend systems, I have worked extensively with data pipelines, event-driven architectures, and automation for data processing across industries like energy, banking, and retail. My hands-on work with AWS (including Lambda, S3, RDS, and Rekognition), Kafka, PostgreSQL, and Elasticsearch has given me deep exposure to handling large-scale structured and unstructured data, including document analysis and time-series data for IoT and CRM applications. I am skilled at designing and optimizing data flows to ensure data quality, reliability, and fast processing—key requirements for high-quality training data in AI and machine learning projects. My experience with monitoring, observability, and cost optimization ensures that data labeling and annotation workflows are not only accurate but also efficient and scalable. I am passionate about clean architecture and automation, and I enjoy collaborating with cross-functional teams to deliver robust data solutions for AI-driven initiatives.

IntermediateEnglishPortugueseSpanishFrench

Labeling Experience

Outlier AI

Internal Proprietary ToolingComputer Code ProgrammingClassification
Contributed to the training and evaluation of AI models focused on code generation and structured data analysis, designing and refining prompts to improve model performance, accuracy, and consistency. Assessed AI-generated code for quality, best practices, and efficiency, and validated model interpretations of spreadsheet data, including Likert scale and other common classification systems, ensuring reliable quantitative and qualitative analysis outputs.

Contributed to the training and evaluation of AI models focused on code generation and structured data analysis, designing and refining prompts to improve model performance, accuracy, and consistency. Assessed AI-generated code for quality, best practices, and efficiency, and validated model interpretations of spreadsheet data, including Likert scale and other common classification systems, ensuring reliable quantitative and qualitative analysis outputs.

2024 - 2025

Education

F

Federal Rural University of Pernambuco

Master of Science, Applied Informatics

Master of Science
2020 - 2023
F

Federal Rural University of Pernambuco

Bachelor of Science, Computer Science

Bachelor of Science
2014 - 2019

Work History

W

Wartsila

Senior Software Engineer

Recife
2025 - Present
G

Groner

Software Engineer

Recife
2024 - 2025