Daniel Simons

Software Engineer at Amygda AI

London, England, United Kingdom
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Summary

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Senior
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Daniel Simons is a full stack software engineer based in London with experience building high-performance cloud-native web applications, notably at KX where he delivered solutions for finance and other data-intensive industries. Proficient in Python (Django), TypeScript/Angular, kdb/q, Docker/Kubernetes and GCP/Azure, he uniquely combines web front-ends with low-latency time-series backends. He was one of the top performers in data structures and algorithms at university, reflecting a strong CS fundamentals foundation that informs his system design choices. Currently at Amygda AI, he continues to focus on scalable, containerised architectures and cutting-edge data tooling. Past roles span start-up and production environments, giving him a pragmatic approach to shipping reliable software for demanding clients. An early volunteer at the BBC, he brings curious problem-solving and cross-disciplinary communication to engineering teams.
code12 years of coding experience
job3 years of employment as a software developer
bookBSc Computer Science (Hons), BSc Computer Science (Hons) at University of Sussex
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Stackoverflow

Stats
1reputation
11reached
0answers
1question
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Github Skills (44)

uitableview10
jtapplecalendar10
transition10
animation9
validations9
bezier9
ios-library9
drawing9
forms9
calendar-view9
swift9
svg8
vector-graphics8
ios8
form-builder7

Programming languages (6)

JavaCJavaScriptObjective-CSwiftHTML

Github contributions (5)

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danielsimons1/HGPlaceholders

May 2019 - Apr 2021

Nice library to show placeholders and Empty States for any UITableView/UICollectionView in your project
Contributions:22 commits, 22 pushes, 10 tags in 1 year 11 months
emptyswiftiosuikitplaceholders
danielsimons1/impress-audio

Jun 2013 - Oct 2013

Small addition to impress.js to allow for html5 audio in your presentation
Contributions:11 commits in 4 months
html5-audiopresentationaudiohtml5impress
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Daniel Simons - Software Engineer at Amygda AI