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Teaching

TEACHING · AI · AGENTIC AI · DATA SCIENCE · DATA MINING

Teaching Portfolio

I teach applied AI, Agentic AI, Machine Learning, Data Science, Data Mining, Python programming, and emerging technologies with an emphasis on hands-on learning, critical thinking, and real-world application.

This page provides supporting evidence of my preparation and experience in college pedagogy, active learning, assessment, online instruction, student engagement, inclusive teaching, and AI education.

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Teaching & Pedagogy

Professional-development certifications and training in evidence-based college teaching, student engagement, assessment, critical thinking, and instructional design.

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Student Feedback

EXTERNAL STUDENT FEEDBACK

Rate My Professor — Student Evaluations ↗

External student feedback and course evaluations.

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Teaching Materials

DATA SCIENCE

Data Science ↗

Course materials, examples, notebooks, and instructional resources for applied data science.

AI EDUCATION · PCCC TRIO STUDENT SUPPORT SERVICES

AI at Work: A Toolkit for Peer Learning ↗

Designed and delivered an AI literacy workshop for TRIO Student Support Services staff, covering practical AI tools, prompting strategies, and responsible-use practices for peer tutoring.

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External Contributions

AI EDUCATION · NJ AI LITERACY SUMMIT

Building Smarter Conversations: RAG for Education ↗

Presented my production RAG system and its applications in education at the NJ AI Literacy Summit.

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Teaching Areas

Agentic AI Large Language Models Generative AI Machine Learning Deep Learning NLP Python Statistics Data Mining Data Analytics Data Visualization SQL Responsible AI AI Engineering