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I am Cleber França Carvalho, a Machine Learning Engineer with over three years of applied ML experience and a solid software engineering background. I specialize in time-series forecasting and predictive modeling for healthcare, with a strong emphasis on model validation, generalization, and preventing data leakage in production pipelines. I have built evaluation pipelines and production-ready systems in international, cross-functional teams, and I am open to relocation within Poland and the EU.…I am Cleber França Carvalho, a Machine Learning Engineer with over three years of applied ML experience and a solid software engineering background. I specialize in time-series forecasting and predictive modeling for healthcare, with a strong emphasis on model validation, generalization, and preventing data leakage in production pipelines. I have built evaluation pipelines and production-ready systems in international, cross-functional teams, and I am open to relocation within Poland and the EU.

Cleber França Carvalho

Data Scientist, AI Engineer, Developer, +2

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I am Cleber França Carvalho, a Machine Learning Engineer with over three years of applied ML experience and a solid software engineering background. I specialize in time-series forecasting and predictive modeling for healthcare, with a strong emphasis on model validation, generalization, and preventing data leakage in production pipelines. I have built evaluation pipelines and production-ready systems in international, cross-functional teams, and I am open to relocation within Poland and the EU.…I am Cleber França Carvalho, a Machine Learning Engineer with over three years of applied ML experience and a solid software engineering background. I specialize in time-series forecasting and predictive modeling for healthcare, with a strong emphasis on model validation, generalization, and preventing data leakage in production pipelines. I have built evaluation pipelines and production-ready systems in international, cross-functional teams, and I am open to relocation within Poland and the EU.

Available to hire

I am Cleber França Carvalho, a Machine Learning Engineer with over three years of applied ML experience and a solid software engineering background. I specialize in time-series forecasting and predictive modeling for healthcare, with a strong emphasis on model validation, generalization, and preventing data leakage in production pipelines.

I have built evaluation pipelines and production-ready systems in international, cross-functional teams, and I am open to relocation within Poland and the EU.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Portuguese

Fluent

Japanese

Beginner

Spanish; Castilian

Beginner

Polish

Beginner

Work Experience

Graduate Researcher - Machine Learning (Healthcare) at Kyoto University of Advanced Science (KUAS)

January 1, 2023 - January 1, 2025

Developed deep learning models for short-term glucose prediction using clinical time-series data. Evaluated model performance using MAE, RMSE, and NRMSE, enabling robust comparison across architectures and datasets. Assessed model generalization across independent datasets while comparing LSTM-based architectures. Investigated different training paradigms (population-based, personalized, ensemble, and fine-tuning). Detected and corrected data leakage in time-series pipelines, improving generalization and model reliability.

Software Android Engineer at JIB Smart Home

January 1, 2019 - January 1, 2023

Developed and maintained three production-grade Android applications focused on accessibility for users with disabilities. Collaborated in Agile/Scrum teams to deliver high-performance, user-centric mobile applications using Kotlin and Jetpack Compose. Implemented scalable application architectures using MVVM, leveraging Room, Retrofit, LiveData, and ViewModel. Integrated IoT functionalities through the Tuya IoT SDK, enabling real-time communication between mobile applications and smart devices. Worked closely with clients and stakeholders to translate real-world requirements into reliable production systems.