Sergio Pantigas
Software Development Leader at KPMG Ignition Tokyo
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolSergio Pantigas is a software development leader based in Tokyo with 12 years of experience building full-stack systems and leading engineering teams, currently driving delivery at KPMG Ignition Tokyo. He brings deep Python expertise and a strong interest in AI/ML, grounded by a Master’s in Data Science and hands-on work in deep learning for IoT and computer vision. Sergio’s background spans finance-grade automation and sysops, high-throughput grid computing at CERN (contributing backend and MySQL resilience fixes to the DIRAC project), and production CI/CD practices using Puppet. He combines practical database and backend engineering skills with a track record of turning experimental ML prototypes into automated workflows, and often surfaces subtle infrastructure issues before they impact users.
12 years of coding experience
5 years of employment as a software developer
Master's degree, Data Science and Machine Learning, Master's degree, Data Science and Machine Learning at Universidad de Granada
Spanish, English, French, Japanese
Github Skills (9)
database-administration10
python10
database-design10
mysql10
sqlalchemy9
workflow-management8
distributed-computing8
grids8
grid8
Programming languages (2)
Github contributions (5)
DIRACGrid/DIRAC
Feb 2015 - Feb 2016
DIRAC Grid
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:123 commits, 51 PRs, 27 comments in 1 year
Contributions summary:Sergio primarily contributed to the back-end functionality and database schema of the project. They focused on implementing character set support for MySQL, modifying database schema to support component monitoring, and addressing 'MySQL has gone away' timeout issues. Their work involved interacting with MySQL databases and related code in Python, suggesting expertise in database administration and back-end development.
griddiracdistributed-computinginterwareworkflow-management
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