Scholar
Priyaranjan Pattnayak
Google Scholar ID: gXWbDuUAAAAJ
Oracle Cloud Gen AI & University of Washington - Seattle
Citations & Impact
Citations
175
H-index
8
i10-index
7
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers such as 'MVTamperBench: Evaluating Robustness of Vision-Language Models', 'Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems', and more. Delivered talks at several international conferences, including an oral presentation at NAACL 2025 titled 'Enhancing OCI Customer Support with a Generative AI-powered Chatbot'.
Research Experience
- At Oracle Cloud, leads the development of Generative AI and NLP capabilities across enterprise applications, architects multi-turn conversation systems, tokenization pipelines, and hybrid response engines, spearheads research collaborations and patentable innovations in AI observability and dynamic routing. Previously, at T-Mobile/Procogia, developed predictive analytics models for customer churn and built scalable reporting and ML infrastructure for internal business teams. At TCS, led cross-functional projects in financial analytics and delivered machine learning workflows for forecasting and optimization.
Education
- University of Washington, Seattle, US - Master of Science in Information Systems & Data Science, 2018 (Graduated with Honors, Top 5 in Class); Odisha University.
Background
- Senior Principal Data Scientist at Oracle Cloud. Research interests include Natural Language Processing, Generative AI, and large-scale AI systems.
Miscellany
- Hobbies not mentioned. Reviewer for NAACL, ACL, IEEE Access, ICML, ICLR, and other conferences; Mentor to early-career data scientists at Oracle and open-source contributors; Contributor to Indic NLP tokenization and safety benchmarks (like SweEval, MvTamperBench, etc.).
