John Idogun

Embedded And Aerospace Systems Specialist at United States Department of War

San Diego, California, United States
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Summary

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Senior
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Top School
John Idogun is an embedded and aerospace systems specialist and software engineer with 8 years of experience bridging secure full‑stack backend development and mission‑critical hardware integration in the defense sector. With an MS in Computer Science from Stony Brook and hands‑on FADEC diagnostics experience, he translates sensor and protocol-level failures into actionable mechanical fixes while designing scalable APIs and compliance automation in Python, Rust, and Go. He combines academic research on distributed protocols and query correctness with practical work on Django-based production systems and smart energy analytics, including custom visualization tooling built with D3 and Plotly. Based in San Diego and holding an Interim DoD Secret clearance, he excels at reducing system defects through rigorous testing, static typing, and embedded diagnostics—a rare blend of theoretical depth and field-level maintenance expertise.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at Federal University of Technology Akure
bookMaster of Science, Computer Science, Master of Science, Computer Science at Stony Brook University
languagesEnglish, Yoruba
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Stackoverflow

Stats
315reputation
16kreached
7answers
6questions
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Github Skills (102)

tensorflowjs9
form-fields9
js8
database8
django8
face-recognition8
vanilla-javascript8
python8
authentication8
semgrep8
emotion-recognition8
sast8
pypi8
face-landmarks8
java8

Programming languages (13)

CSSC++RustTeXGoHTMLSvelteTypeScript

Github contributions (5)

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Sirneij/rust-auth

Apr 2023 - Jan 2025

A fullstack authentication system using rust, sveltekit, and Typescript
Contributions:26 PRs, 95 pushes, 16 branches in 1 year 9 months
authenticationfull-stackrustsveltekittypescript
Sirneij/finance-analyzer

Jan 2025 - Feb 2025

An AI-powered financial behavior analyzer and advisor written in Python (aiohttp) and TypeScript (ExpressJS & SvelteKit with Svelte 5)
Contributions:2 PRs, 344 pushes, 3 branches in 1 month
aiaiohttpexpressjspythonsvelte
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