PromptBeaver
Published:
Created a Streamlit prompt-engineering tool that helps students build, evaluate, and refine prompts for large language models through guided prompt analysis rather than direct answer generation.
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portfolio
CLiFF (Clustering & Language model integration for FAQ Formation)
Published:
Constructed CLiFF, a natural language processing pipeline that uses a fine-tuned large language model and semantic clustering to transform recurring technical support issues into frequently asked questions.
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ML Job Compass
Published:
Built a Streamlit application that analyzes 1,000+ machine learning job postings using natural language processing and retrieval-augmented generation to identify in-demand skills and generate personalized learning roadmaps. Manuscript submitted for publication.
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Dog and Cat Breed Classifier
Published:
Trained a MobileNetV2 transfer-learning model to classify 104 dog and cat breeds from 29,000 images, achieving an 84% F1 score.
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publications
Used or new electric vehicles? Public preferences and market segments
Published in International Journal of Sustainable Transportation, 2025
Recommended citation: Krause Moras, B. C., Joslin, C., & Gkritza, K. (2025). Used or new electric vehicles? Public preferences and market segments. International Journal of Sustainable Transportation, 1–14.
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Generating Frequently Asked Questions from Technical Support Tickets using Large Language Models
Published in SC ’25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2025
Recommended citation: Joslin, C., Burns, D., Ashish, A., & Barezi, E. J. (2025, November). Generating Frequently Asked Questions from Technical Support Tickets using Large Language Models. Proceedings of the SC ’25 Workshops of the International Conference for High Performance Computing, Networking, Storage, and Analysis (pp. 715–726). Association for Computing Machinery.
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