Péter Nagy

Head Of Development, Hungary at cptr

Budapest, Hungary
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Summary

👤
Senior
🎓
Top School
Péter Nagy is a Head of Development based in Budapest with nine years of software engineering experience and a strong full-stack background focused on frontend engineering. He excels in TypeScript, Python, Java, system design, algorithms and NLP, and has repeatedly owned full project lifecycles from architecture to support. Péter has scaled teams and mentored engineers across multiple roles, while delivering measurable product improvements like frontend load-time reductions and high-availability integrations. His career spans finance and hospitality to music and startups, and he has hands-on experience building green-field Flutter frameworks and resilient hosting services that survived DDoS attacks. Known for blending technical depth with pragmatic leadership, he combines academic grounding in computer software engineering with entrepreneurial problem-solving.
code10 years of coding experience
job8 years of employment as a software developer
bookMaster's degree Computer Software Engineering, Master's degree Computer Software Engineering at Budapest University of Technology and Economics
bookSpecialization of Informatics, Specialization of Informatics at Mechwart András Secondary Technical School of Engineering and Information Science
languagesEnglish, Hungarian
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Github Skills (77)

ui-components10
ngx-admin10
firebase10
javascript10
stencil10
ionic10
html10
angular10
admin10
progressive-web-apps10
typescript10
google10
vue10
android10
mobile10

Programming languages (8)

TypeScriptJavaCSSJavaScriptObjective-CDartPythonKotlin

Github contributions (5)

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PudingosLecso/coins-android

Apr 2017 - Feb 2023

Coins for Android
Contributions:2 PRs, 13 pushes, 1 branch in 5 years 10 months
coinscryptocurrencyandroidbitcoin
This is one of my deep reinforcement learning experiments done during a university course.
Contributions:35 commits, 17 pushes in 1 month
deep-reinforcement-learningconvolutional-neural-networksdeep-neural-networksdeep-q-networkmachine-learning
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