Senior Data & AI Engineering Leader | Independent Researcher | IEEE Senior Member Large-scale Data Platforms • Applied ML • AI-driven Decision Systems

I am a data engineering and AI leader with 15+ years of experience designing and delivering enterprise-scale data platforms and intelligent systems in complex, highly regulated environments. My work focuses on translating advanced analytics, machine learning, and AI into measurable business and societal impact.

My research interests center on:

• Predictive risk modeling in healthcare
• AI-driven optimization for cost and outcome improvement
• Scalable data architectures for responsible AI systems

• Leading AI-driven data engineering initiatives at enterprise scale
• Designing end-to-end ML pipelines (data ingestion → modeling → production deployment)
• Research on health risk prediction and underwriting optimization
• Mentoring engineers and researchers in applied ML and data systems design

• Data Engineering: Distributed data systems, data lakes, streaming & batch pipelines
• Machine Learning: Predictive modeling, feature engineering, model evaluation & monitoring
• AI Systems: Production ML, governance, explainability, and scalability
• Architecture: Cloud-native platforms, enterprise integration, reliability at scale

I use GitHub primarily to:

• Share reference implementations and architectural patterns
• Prototype research ideas and applied ML workflows
• Contribute selectively to open-source projects aligned with data and AI infrastructure

• Peer reviewer for academic and technical journals
• Editorial board member and technical advisor (select journals)
• Active contributor to the research and engineering community

• ORCID: https://orcid.org/XXXX-XXXX-XXXX-XXXX
• Google Scholar: https://scholar.google.com/…
• LinkedIn: https://linkedin.com/in/…

This profile highlights selected technical work. Many enterprise initiatives are proprietary and not publicly visible.