Fernando Caprile
Data Scientist Semi-senior
Vicente López, Buenos Aires, Argentina
Summary
👤
Senior🎓
Top SchoolFernando Caprile is a data scientist with eight years of professional experience and over three years focused on applied machine learning, model fine-tuning, and data engineering in production environments. He blends hands-on expertise with PyTorch/TensorFlow model work, statistical analysis and visualization, and backend skills (FastAPI, async tasks, InfluxDB, MongoDB, MySQL) to ship low-latency, accurate inference systems. Recent projects include refactoring a license-plate/vehicle detector to boost recall without raising inference time and leading a Napari plugin effort to simulate focused beams for high-resolution microscopy. Comfortable in cloud-native and microservices settings (Kubernetes) and collaborative workflows (Git/GitHub/GitLab), he often bridges research-quality methods and production constraints. Collected training in physical sciences informs his quantitative approach and interest in scientifically grounded solutions.
8 years of coding experience
2 years of employment as a software developer
Licenciatura, PHYSICAL SCIENCES, Licenciatura, PHYSICAL SCIENCES at Universidad de Buenos Aires
Github Skills (3)
mask9
python8
user-interface8
Programming languages (2)
Github contributions (5)
fcaprile/PyFocus
May 2021 - Jan 2023
This is PyFocus, a Python package that provides high-level functions and an user interface to perform full vectorial calculations of the focus of an electromagnetic field that has been modulated by a custom phase mask.
Contributions:12 releases, 173 commits, 6 PRs in 1 year 9 months
electromagneticuser-interfacepythonmaskcalculations
fcaprile/Comandos-basicos-de-Python
Jul 2019 - Jan 2022
Contributions:6 pushes, 2 branches in 2 years 5 months
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