Lucas Fischer is a software engineer with 9 years of experience who blends a strong computer science foundation with applied machine learning and production engineering at FAIRTIQ. He holds a master’s in Machine Learning and Big Data Engineering (18/20) and has driven research-grade NLP and representation learning projects, including an 18/20-graded thesis on employee churn segmentation at NOS. Comfortable moving models into code, Lucas has worked on dialog systems with large transformers and contributed to open-source tooling for JSON/BSON manipulation. Based in Setúbal, Portugal, he actively showcases experimental work on Kaggle and GitHub, reflecting a curiosity-driven, hands-on approach to solving data-rich problems.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Machine Learning, Big Data Engineering, 18/20, Master's degree, Machine Learning, Big Data Engineering, 18/20 at Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa - FCT NOVA
Bachelor's degree, Computer Science, 15/20, Bachelor's degree, Computer Science, 15/20 at Instituto Politécnico de Setúbal
Contributions:5 pushes, 4 branches in 2 years 7 months
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