the artist

2026 recapSoftware Engineer

JORDAN

JERKINS

Building AI-powered systems for audio, automation, and real-time applications.

A Wrapped-style look at my projects, internships, technical stack, and growth as a builder.

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Your Top Technologies

The stack on heavy rotation

1
Java / Spring Boot
service APIs and auth
0 plays
2
Python / FastAPI
ML + backend pipelines
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3
TypeScript / Next.js
dashboards and product UI
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4
PostgreSQL + Redis
durable data + fast state
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5
Docker + Azure
containerized deployment
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6
MongoDB
document-heavy analytics features
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7
C++ / JUCE
real-time audio tooling
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#1 Most Played Project

MusicDecoded

MusicDecoded

Jordan Jerkins - AI Music Analysis

No logo yet, so enjoy a picture of me and a piano :)

2:47on repeat all year3:52

View the repo on GitHub

A full-stack AI music analysis system: Android app -> Spring Boot API -> async Python worker. Users submit a YouTube link and get beats, downbeats, chords, and synced analysis artifacts without permanently storing source audio/video.

Architecture: Spring API + Python worker
Flow: YouTube -> queue -> async analysis
Storage: Postgres + Redis + object storage
Security rule: No permanent media storage

Check it out on GitHub

The Catalog

More from the discography

Biggest Skill Jump

Major skill growth

LeetCode / DSAInconsistent → Daily practice

System DesignSurface-level → Can design & defend

Backend ArchitectureFramework user → System thinker

C++ / Audio DSPZero → Functional DSP tools

160+ LeetCode problems this year. System design reps: client-server, caching, rate limiting, DB sharding, and URL shortener.

Career Recap

Career highlights

NICE

AI Solutions Engineer Intern

Sep 2025 - Dec 2025

Built an MVP AI platform for real-time 911 transcription, sentiment analysis, and QA scoring with FastAPI, MongoDB, and OpenAI
Developed modular REST APIs with JWT auth and role-based access control
Implemented protocol CRUD, evaluation workflows, and analytics views

NICE

Associate Software Engineer

Jan 2026 - May 2026

Architected and deployed 4+ AI microservices on Azure for transcript generation and automated QA analysis
Built secure pipelines on Azure Data Lake for CJIS-regulated records
Helped modernize PSAP dashboard reporting for faster, near real-time metrics

ADP

Application Developer Intern

May 2026 - Aug 2026

Automated 50 REST API endpoints with Java/Spring Boot + Cucumber/TestNG, lifting coverage from 63% to 93% and saving 25 hrs/week of manual testing
Refactored MPV2 delete service with SOR-aware routing, better HTTP error handling, and expanded Groovy unit tests for failure and regression paths

Real-world lessons learned

01. Read the logs before you blame the framework
02. Production is the only environment that tells the truth
03. Automation pays rent every single day

Debugging Hours

Time well spent*

0

hours in the debugger

0%

fixed by reading the stack trace properly

0 days

longest single bug hunt

0

missing await that caused all of it

0%

of bugs eventually lost

*generous estimate. the logs know the real number.

Top Songs 2026

Most played on repeat

Straight from my Spotify, the tracks that scored this year's builds, debugging sessions, and late-night commits.

Now Playing

Yes, the music thing is real

ON REPEAT • ON REPEAT • ON REPEAT

I build music tech because I live in it. This is what is coming through my speakers, live from Spotify.

Off air

Nothing on

probably debugging in silence

Want the rest of the set?

Let's build something worth replaying.

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