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John Jahn

@johnjahn

Software engineering intern at Analog Devices who shipped a Jira app that copies 5,000 tickets per job with automatic retries.

United States

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At Analog Devices, I shipped a production Jira app as the sole developer, writing 22,000+ lines of TypeScript on Atlassian Forge. It copies up to 5,000 tickets per job, and I made the process twice as fast with parallel batches.

I'm building an NLP classifier with scikit-learn at Cornell School of Public Policy to flag mental health risks in app reviews. In my projects, I’ve also built tools for award-travel search, used-item deals, car listings, and housing workflows.

Experience

Work history, roles, and key accomplishments

Current

Break Through Tech AI Fellow

Current

Cornell School of Public Policy

May 2026 - Present (5 months)

Building an NLP classifier in scikit-learn to flag mental health risks in 200,000 reviews across 73 apps. Designing a labeling guide and measuring inter-rater agreement.

NLP scikit learn Python Machine Learning Data Labeling

Software Engineering Intern

Analog Devices

May 2026 - Aug 2026 (3 months)

Shipped a production Jira app as sole developer, writing 22,000+ lines of TypeScript on Atlassian Forge. Improved ticket copying speed by 2x and added AI search, backed by 523 automated tests.

TypeScript Atlassian Forge Jira AI Search Security Testing Automation

Software Engineering Intern

University of North Carolina at Chapel Hill

Sep 2024 - May 2025 (8 months)

Built a Python ensemble portfolio model that beat the S&P 500 by 12% over a 3-month testing period. Automated a BERT sentiment pipeline over 5,000+ articles hourly.

Python Ensemble Learning BERT Sentiment Analysis Automation

Education

Degrees, certifications, and relevant coursework

University of North Carolina at Chapel Hill

Bachelor of Science, Computer Science

2024 -

Pursuing a Bachelor of Science in Computer Science with coursework in data structures, software engineering, computer architecture, and linear algebra.