Gerard Castell

Product Engineer at Fence

Barcelona, Catalonia, Spain
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Summary

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Senior
🎓
Top School
Gerard Castell is a product-focused software engineer with eight years of experience building end-to-end web and telecom-infused systems from problem framing to production. Based in Barcelona, he’s moved from backend and frontend roles into senior engineering and tech lead responsibilities at Cleverea and now shapes product engineering at Fence. His background in telecommunications and a master’s specialization in deep learning for multimedia gives him a practical edge for data-rich, real-time applications. Gerard combines hands-on full-stack development with leadership in shipping reliable customer-facing features, and he often bridges ML prototypes into production services. Colleagues describe him as comfortable toggling between low-level system details and high-level product tradeoffs, making him effective at turning complex requirements into usable, deployable software.
code8 years of coding experience
job7 years of employment as a software developer
bookMaster's degree Advanced Telecommunication Technologies · Mention in Deep Learning For Multimedia Processing, Master's degree Advanced Telecommunication Technologies · Mention in Deep Learning For Multimedia Processing at UPC - ETSETB TelecomBCN
bookBachillerato, Bachillerato at La Salle Bonanova
bookUPC Universitat Politècnica de Catalunya
languagesEnglish, Spanish, Catalan, French
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Github Skills (68)

storybook10
javascript10
ai-agent10
monorepo10
cli10
angular10
typescript10
build-system10
nodejs10
cypress10
nextjs10
react10
html9
testing9
web-components9

Programming languages (5)

TypeScriptJavaJavaScriptJupyter NotebookRuby

Github contributions (5)

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gerardcastell/bilingualy

Mar 2020 - Apr 2020

Contributions:4 PRs, 134 pushes, 8 branches in 1 month
Anomaly detection in 4G cellular networks. Explore ML solutions for the detection of abnormal behaviour of eNB (MLEARN - MATT 2020)
Contributions:2 PRs, 27 pushes, 9 branches in 4 years
4ganomaly-detectioncellular-networkmachine-learning
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