Fernando Díaz
Software Engineer at Epidemic Sound
Stockholm County, Sweden
Summary
👤
Senior🎓
Top SchoolFernando Díaz is a backend-focused software engineer with 11 years of experience building scalable, high-performance systems for music and learning platforms. He has driven core infrastructure and data services at Spotify, contributed to AI-driven product features at Sana, and now architects multi-agent systems powering Epidemic Sound’s Studio and Assistant. Comfortable in distributed systems, experimentation platforms, and fault-injection tooling, he pairs a delivery-first mindset with client obsession to turn complex requirements into reliable production services. His academic work in federated ML for time-series forecasting and hands-on chaos testing for databases reveal a mix of research curiosity and practical resilience engineering. Based in Stockholm, he thrives on cross-functional collaboration and shipping measurable user-facing impact.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidad de ExtremaduraMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at KTH Royal Institute of TechnologyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidad Politécnica de Madrid
Github Skills (172)
syslog10
notebook10
python10
testing10
kubeflow10
structured-logging10
kedro10
deep-learning10
log4j10
extensible10
streaming10
logback10
async10
architecture10
api10
Programming languages (12)
Github contributions (5)
fediazgon/pbt-keras
Sep 2018 - Oct 2019
Population Based Training of Neural Network implemented in Keras
Contributions:23 commits, 2 PRs, 21 pushes in 1 year
deep-learningtrainingneural-networktensorflowkeras
fediazgon/yelp-business-viz
Jan 2018 - Jul 2019
Contributions:15 commits, 13 pushes, 4 branches in 1 year 6 months
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