Fernando Baptistella is a Senior Data Scientist with nine years of engineering experience and five years focused on applied machine learning, currently driving R&D at CESAR for a global client. He designs, trains, deploys, and maintains ML and deep learning models—working end-to-end from data pipelines (Spark, Airflow) and feature stores (Feast) to production microservices (Python, Docker, Kubernetes, Kafka). Comfortable with LLMs and LangChain, he blends research-led experimentation with pragmatic MLOps practices (MLflow, CI/CD) to improve productivity and intelligence across domains. Fernando’s background as a full-stack and backend developer gives him strong systems-thinking when building scalable AI solutions, and his ongoing master’s in Computer Engineering underscores a commitment to deep technical growth. Known for thriving in agile teams while also self-managing independent projects, he brings a rare mix of research curiosity and production-grade delivery.
9 years of coding experience
7 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Universidade de Pernambuco
Specialization in Deep Learning, Specialization in Deep Learning at Centro de Informática UFPE
Data Analysis and Data Engineering Specialization Data Science, Data Analysis and Data Engineering Specialization Data Science at CESAR School
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