John Santhosh

Software Development Engineer IV at GoDaddy

Bellevue, Washington, United States
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Summary

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Senior
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Top School
John Santhosh is a Software Development Engineer IV with 8 years of experience building Java Spring Boot web applications and advancing through multiple engineering roles at GoDaddy. He holds an MS in Computer Science from Arizona State University and combines strong backend expertise with growing interests in AWS, React/Redux, Node, and Django to move toward full-stack ownership. Known for pragmatic engineering practices, he favors Unix, Git, and dependency inversion, and brings an agile mindset to secure, maintainable systems. His career spans enterprise and services contexts from Wipro and IBS to research and internships, giving him broad exposure to production and research-driven development. Based in Bellevue, WA, he balances hands-on coding with a taste for infrastructure and security, and outside work he builds PCs, drives motorcycles, and plays ping pong—skills that hint at a methodical, tinkerer’s approach to problem solving.
code8 years of coding experience
job9 years of employment as a software developer
bookMaster of Science Computer Science, Master of Science Computer Science at Arizona State University
bookBachelor of Technology - BTech Computer Science Engineering, Bachelor of Technology - BTech Computer Science Engineering at Cochin University of Science and Technology
languagesEnglish, Malayalam
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Stackoverflow

Stats
2,605reputation
1.6mreached
11answers
7questions
Badges
java
top-5%
spring
top-5%
spring-boot
top-1%
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Github Skills (38)

image-file10
spring-boot10
java9
spring9
image-recognition9
aws9
amazon-s39
mongodb9
lodash8
utilities8
javascript8
webpack7
powershell6
postman6
pycharm6

Programming languages (3)

JavaJavaScriptPython

Github contributions (5)

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johnsanthosh/image-service

Mar 2018 - Jun 2021

Java Spring Boot based Web Application that is highly scalable. We used Amazon Simple Queue Service, Amazon S3 (Our original architecture supported upload of image files as part of the request body, that were in turn saved in S3 and the further computations [i.e Image recognition model] were done based on the S3 URL ) and MongoDB. FYI : The AWS account used for this project was closed.
Contributions:32 commits, 6 PRs, 6 pushes in 3 years 4 months
amazon-s3awsimage-fileimage-recognitionjava
Contributions:20 pushes, 1 branch in 2 years 2 months
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