Dear Alexios Zavras and the gsoc-developers community, My name is Jean (Jinhyung Bae), a student at Hankuk University of Foreign Studies majoring in Industrial Engineering and AI Data Convergence. I am writing to express my strong interest in the "Using SWHID to Identify Software Components" project for GSoC 2026. I have attached my CV to this email for your reference. As you will see in the document, I have an advanced background in Python and experience in handling complex data structures. In my personal project, *OptiMystic Solver*, I successfully refactored a modeling engine from PuLP to Pyomo, demonstrating my ability to work with high-level abstractions. I am also currently working on a team project using Transfer Learning to translate historical documents, which involves extensive data mapping. I am specifically interested in the Small Project (90 hours) scope. Due to my mandatory military service starting on August 11th, 2026, I am planning for an "Early Completion" and aim to finish the project by July 31st. I believe this scope allows me to deliver high-quality results within my available timeframe. I have two technical questions to help refine my proposal: 1. For a 90-hour project, would prioritizing a specific ecosystem like PyPI for a complete mapping pipeline be a suitable goal? 2. Does the team have a preferred CLI framework or library for the SWHID utility? I have been reviewing the SWHID specifications and the triplestore repository, and I am eager to contribute. Best regards, Jean (Jinhyung Bae) [GitHub: github.com/nepersoned <https://www.google.com/search?q=https://github.com/nepersoned>]
Attachment:
JinhyungBae CV.pdf
Description: Adobe PDF document
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