D.Eng. Candidate · Penn State University

Rickey Patel

Engineering the cloud pipelines and data models that uncover how artificial intelligence is reshaping the global workforce.

I am a D.Eng. Candidate at Penn State University specializing in AI and workforce analytics. My research combines large-scale employer demand data, natural language processing (NLP), and production-grade cloud architectures to identify how machine learning alters required occupational skill sets — and analyze who risks being left behind in the digital economy.

Advised by Dr. Satish M. Srinivasan, my doctoral work focuses on building fully automated, GCP-native ETL pipelines to trace longitudinal skill shifts across sectors ranging from healthcare delivery to digital religious labor platforms. I am passionate about bridging the gap between academic labor economics and enterprise software architecture, developing data solutions that champion equity, explainable AI (XAI), and clinical stewardship.

2025 NABET Best Paper Award — Impact of Artificial Intelligence in the Healthcare Sector
D.Eng. Candidate · Penn State 🏆 NABET Best Paper Award 2025 M.S. Information Science · GPA 3.73 Grad. Cert. Engineering Leadership & Innovation Mgmt

Tech Stack

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GCP BigQuery Dataflow Vertex AI Kafka Spark NLP BERTopic Deep Learning XAI / SHAP Python R GeoPandas Streamlit DuckDB

GCP Pipeline · In Production

Job Postings Intelligence Pipeline

GCP-native pipeline: USAJobs + Jooble → Pub/Sub → Dataflow → BigQuery → Vertex AI AutoML. O*NET 24.2 competency mapping across CS, MBA, Data Analytics, and AI domains.

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Independent Research · 2024 – Present

Religious Job Listings Dataset (RJLD)

Multi-source IRS/Census/SerpAPI pipeline for spiritual facilitation roles. Fine-tuned RoBERTa multi-label classifier with an IAA gate (κ ≥ 0.6). Key finding: r = −0.402 (p = 0.038) — lower-income states show a higher share of digital postings across 27 states.

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PSU ROAR HPC · SLURM

Job Pipeline — ROAR HPC Variant

GCP pipeline adapted for Penn State's ROAR supercomputer: DuckDB replaces BigQuery, a Streamlit analytics dashboard replaces Cloud Run, and SLURM sbatch replaces Cloud Scheduler — full parity, zero cloud dependencies.

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Course Development · Penn State Great Valley

CSC 894: Healthcare AI Capstone

Graduate-level capstone built around HealthRiskAI, a fictional GCP pipeline processing healthcare claims data with HIPAA compliance. Clinical Stewardship rubric with mandatory fairness audits and XAI ethics-by-design at every milestone.

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Recent Activity

2026

Lightning Talk · NJBDA 2026

Presenting "Architectural Patterns and Orchestration Frameworks in Multi-Agentic AI for Healthcare" at the New Jersey Big Data Alliance Annual Symposium

2026

Two Papers Accepted · NABET 2026

Presenting "Building Trust in AI: Ethical Deployment and Regulatory Oversight in Healthcare" and "Impact and Current State of Artificial Intelligence in the Religious Market"

Aug 2025

D.Eng. Candidate · The Pennsylvania State University

AI & Workforce Analytics · Graduate Certificate in Engineering Leadership & Innovation Management (in progress)

2025

NABET Best Paper Award

"Impact of Artificial Intelligence in the Healthcare Sector" · co-authored with Dr. Satish M. Srinivasan