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Caio Marcos Santos

@caiomarcossantos

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I evaluate engineering data, photovoltaic performance, and AI responses using Python and machine learning.

Brazil

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What I'm looking for

I'm looking for remote AI evaluation, training, or technical data annotation work where I can assess STEM, engineering, Python, math, statistics, and Portuguese-language responses using quantitative analysis and technical validation.

I've analyzed energy-efficiency, photovoltaic, and energy-storage projects at Tribus Engenharia, using operational, generation, irradiation, and consumption data to identify performance deviations and validate engineering results.

I also supported 5G network operations at Huawei and built an EEG emotion-classification pipeline using Python and scikit-learn, achieving approximately 76.6% accuracy for binary valence classification. I'm focused on applying quantitative engineering, technical validation, and Portuguese-language expertise to AI evaluation and data annotation.

Experience

Work history, roles, and key accomplishments

Engineering Analyst

Tribus Engenharia

Aug 2024 - Oct 2025 (1 year 2 months)

Performed quantitative and technical analysis of energy-efficiency and photovoltaic projects, developing KPIs and models to identify deviations. Automated engineering analyses and reporting workflows, and produced structured technical reports.

Python SQL Pandas NumPy Scipy scikit learn Jupyter Power BI Git GitHub PV*Sol Statistical Analysis regression KPI development Data Analysis Photovoltaic Systems Energy Efficiency Energy Storage BESS Technical Reporting

Network Analyst

Huawei

Supported logical infrastructure and telecommunications operations in 5G network environments, analyzing operational information and supporting structured troubleshooting.

Telecommunications Network Infrastructure Troubleshooting Technical Documentation incident investigation Quality Assurance

Education

Degrees, certifications, and relevant coursework

Federal University of Technology – Paraná (UTFPR)

Bachelor's Degree, Electrical Engineering

Bachelor’s Degree in Electrical Engineering with foundation in mathematics, physics, circuits, signals and systems, telecommunications, power systems, control, statistics, and engineering problem solving.