Jake Kelly

Application Specialist I

Colorado Springs, Colorado, United States
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Summary

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Senior
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Top School
Jake Kelly is an Application Specialist and developer evangelist with 10 years of experience helping developers adopt new APIs and build hands-on workshops, now supporting teams at Relativity from Colorado Springs. He combines full-stack JavaScript skills—demonstrated by refactors and feature work across multiple Alexa sample skills—with a knack for turning complex concepts into clear tutorials and event-driven teaching. Jake’s background in customer-facing leadership at Chase and later roles in technical business analysis give him a rare blend of developer empathy, product sensibility, and operational rigor. He frequently modernizes legacy codebases (ES6 migrations, response-builder updates, i18n) and prepares samples for major SDK/version launches, signaling both attention to developer experience and production readiness.
code10 years of coding experience
job11 years of employment as a software developer
bookSeattle Campus, Web Development, Seattle Campus, Web Development at Dev Bootcamp
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Stackoverflow

Stats
33reputation
1kreached
0answers
2questions
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Github Skills (19)

json10
javascript10
apidoc10
alexa-skills-kit10
refactor10
api10
i18next10
nodejs10
refactoring10
i18n-js6
binary-files6
ember-i18n6
graphical-user-interface6
python6
ui-design6

Programming languages (5)

C#JavaScriptHTMLRubyPython

Github contributions (5)

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An Alexa Skill Sample showing how to build a skill featuring a single city's landmarks and news.
Role in this project:
userFull-stack Developer
Contributions:34 commits, 9 PRs in 6 months
Contributions summary:Jake primarily worked on updating the Alexa Skill's code. The commits show refactoring of the code structure, consolidation of instructions, and adding a fallback intent. The user also updated the code for V2 launch which shows ongoing feature development within the Alexa Skill.
alexaalexa-skilllandmarksnewsskill-sample
The high low game is a game where the player tries to guess the target number. After each incorrect guess, the player is informed if the target number is higher or lower than their current guess. This continues until the target number is guessed or the player gives up. This sample Alexa Skill is written in Node.js and demonstrates the use of session and persistent attributes.
Role in this project:
userBack-end Developer
Contributions:32 commits, 12 PRs, 1 comment in 1 year 9 months
Contributions summary:Jake's commits primarily focused on updating the code for an Alexa skill written in Node.js. Their work involved refactoring the code, correcting linting issues, and incorporating internationalization using i18next. They also made changes to the code to support the integration of language strings. The user worked on the skill's core logic, improving the user experience through language support.
nodejsalexa-skillsession-attributespersistent-attributes
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