Antonio Laverghetta
Assistant Professor Of The Practice at Wesleyan University
Middletown, Connecticut, United States
Summary
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Senior🎓
Top SchoolAntonio Laverghetta is an Assistant Professor of the Practice in Quantitative Methods with eight years of experience bridging academic research and applied machine learning. He holds a PhD in Computer Science and has built lightweight, high-performing models for tasks ranging from careless-response detection (0.98 F1) to automated item generation using prompt engineering and LLMs. His background includes industry internships at Amazon and Meta where he optimized prompting strategies and anomaly detection in streaming pipelines, and he regularly teaches data science tools from SQL and Python to PyTorch and AWS. Known for turning research prototypes into practical tools, he designs evaluation-driven frameworks that prioritize reliability and deployability without heavy GPU requirements.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at University of South Florida
Stackoverflow
1reputation
0reached
0answers
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Github Skills (23)
distilbert9
korean-nlp7
classification6
nlp5
question-answering5
transformers4
pytorch4
machine-learning4
text-classification4
deep-learning4
bert4
natural-language-processing4
transformer4
conversational-ai3
french3
Programming languages (3)
Github contributions (5)
Advancing-Machine-Human-Reasoning-Lab/negation-processing-ACL-2022
Mar 2022 - Sep 2022
Contributions:5 commits, 8 pushes, 1 branch in 6 months
alaverghett/deep-irt-project
May 2023 - Mar 2025
Contributions:2 pushes, 1 branch in 1 year 10 months
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