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.
Tech Stack
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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.
View engineering details →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.
View engineering details →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.
View engineering details →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.
View course details →Recent Activity
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
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"
D.Eng. Candidate · The Pennsylvania State University
AI & Workforce Analytics · Graduate Certificate in Engineering Leadership & Innovation Management (in progress)
NABET Best Paper Award
"Impact of Artificial Intelligence in the Healthcare Sector" · co-authored with Dr. Satish M. Srinivasan