About
Narasimha Chaitanya Samineni is a seasoned Quality Assurance Specialist and AI-driven Data Engineering professional with over a decade and half years of experience designing, validating, and governing large-scale enterprise data ecosystems across retail and regulated financial services.
His work focuses on AI-enabled data quality engineering, privacy-preserving data transformations, regulatory compliance, and risk-sensitive analytics. He has contributed to high-impact initiatives involving CCAR, IFRS-9, enterprise data masking, cloud data lakes, and compliance-driven automation.
He actively publishes, reviews, and presents research on secure data engineering, AI-assisted governance, and compliance-aware analytics, bridging academic research with real-world regulatory systems.
Profiles
- 📧 Email: contactchay@gmail.com
- 💼 LinkedIn: linkedin.com/in/snchaitanya
- 🎓 Google Scholar: Google Scholar
- 📚 ResearchGate: ResearchGate
- 🏛️ Academia: Academia
- 🆔 ORCID: 0009-0001-8827-0800
Research & Contributions
- Research on AI-driven data quality automation, metadata-driven validation frameworks, and enterprise ETL reliability.
- Publications and preprints on privacy-preserving data engineering, data masking, and compliance-aligned AI systems.
- Peer reviewer and judge for international journals, conferences, and global technology awards.
- Conference keynote speaker and session chair on secure cloud data engineering and AI-enabled compliance controls.
- Open research contributions spanning regulated finance, retail analytics, and large-scale cloud data platforms.