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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
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.
Source Code
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.
Source Code
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.
Source Code
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.
Source Code
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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talks
teaching
TDM: CAT EV Charging Operations
Undergraduate and Graduate Course, Purdue University, The Data Mine; Caterpillar Inc, 2023
Corporate Partners Teaching Assistant
Symposium Poster
TDM: LLM-Powered Data Dashboard
Undergraduate and Graduate Course, Purdue University, The Data Mine; Caterpillar Inc, 2023
Corporate Partners Teaching Assistant
CS 180: Problem Solving And Object-Oriented Programming
Undergraduate Course, Purdue University, Department of Computer Science, 2023
Undergraduate Teaching Assistant
Introduction to PyTorch and Tensorflow
Workshop, Purdue University, Rosen Center for Advanced Computing, 2025
This introductory workshop presented the core concepts and workflows of PyTorch and TensorFlow, two widely used deep learning frameworks. Topics included tensors, computation graphs, automatic differentiation, gradient-based optimization, and the architectural and programming differences between the two frameworks.
Download Slides | Jupyter Notebook
Fine-Tuning and Compression of Large Language Models
Workshop, Purdue University, Rosen Center for Advanced Computing, 2026
This intermediate-level workshop introduced practical methods for fine-tuning and compressing large language models. Topics included full fine-tuning versus parameter-efficient fine-tuning, Low-Rank Adaptation (LoRA), QLoRA, key LoRA hyperparameters, model quantization, and GGUF conversion for local deployment.
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