I'm a Master's student in Computer Science at the University of Southern California, driven by a passion for building robust, intelligent systems. My journey began with a Bachelor's in Materials Science and Engineering from the University of Illinois at Urbana-Champaign.
Previously, I worked as a Software Developer at Ericsson, where I developed and tested scalable 5G Packet Core features on Kubernetes. Now, I'm diving deeper into the world of full-stack development, applied AI, and Cloud Engineering.
Here are some of the technologies I've been working with recently:
Here are a few projects that I'm particularly proud of.
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Wafer Defect Classifier
- A CNN-based image classifier built with PyTorch to detect defects in semiconductor wafers, blending my background in materials science with machine learning.
- Technologies: Python, PyTorch, CNNs
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Ericsson Hackathon: Project Insights Tool
- Led a team to build a full-stack CRUD application that uses a Mistral-12B RAG model to provide natural language insights on project data from Jira.
- Technologies: PostgreSQL, REST APIs, Large Language Models (LLMs)
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Financial AI Tool
- Developed software that incorporates the ChatGPT API and Google Trends API to automate the search and analysis of financial events.
- Technologies: Python, APIs, AI/ML
- Email: yoonjae@usc.edu
- LinkedIn: [(https://www.linkedin.com/in/yoonjae-hwang-23b690179/)]