I’m Priyaranjan Pattnayak — a Senior Principal Data Scientist at Oracle Cloud.
I lead projects on Generative AI, NLP, and enterprise-scale multimodal systems.
My work focuses on building production-grade AI frameworks that power real-world business experiences, combining deep learning, tokenization research, document understanding, and conversational agents.
You can find my publications, blogs, and recorded talks here.
Selected Publications
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SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use
Proceedings of NAACL 2025 [PDF] -
Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation
Proceedings of NAACL 2025, KnowledgeNLP [PDF] -
LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents
Proceedings of WCSC 2025 [PDF] -
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
IJERT 2024 [PDF] -
Review of Reference Generation Methods in Large Language Models
IJAI&ML 2025 [PDF] -
Survey of Multimodal Model Datasets, Application Categories and Taxonomy
Proceedings of CVR 2025 [PDF] -
Joint Answer Extraction and Medical Categorization
arXiv 2023 [PDF] -
A Novel Method of Predicting Rainfall in Pacific NorthWest
Researchgate 2017 [PDF] -
Monthly Auto Sales in US - Time Series Analysis using SARIMA
Researchgate 2017 [PDF]
Blogs & Talks
- Enhancing OCI Customer Support with a Generative AI-powered Chatbot
- 🎤 NAACL 2025 Oral Presentation – Enterprise Chatbots & Hybrid AI
View on LinkedIn - 🎧 Everything Product Podcast – Generative AI at Oracle Cloud
Listen - Panelist at 28th Colloquium for Information Systems Security Education, Tampa, Florida 2024
Service & Leadership
- Reviewer: NAACL, ACL, IEEE Access, ICML, ICLR and other conferences
- Mentor: Early-career data scientists at Oracle and open-source contributors
- Contributor: Indic NLP tokenization and safety benchmarks (like SweEval, MvTamperBench etc.)
Experience
Oracle Cloud (2018–Present)
Senior Principal Data Scientist
- Leading development of Generative AI and NLP capabilities across enterprise applications
- Architecting multi-turn conversation systems, tokenization pipelines, and hybrid response engines
- Spearheading research collaborations and patentable innovations in AI observability and dynamic routing
- Focus on Generative AI safety and AI scheduling platforms for cloud support
T-Mobile/Procogia 2018
Data Science & Analytics
- Developed predictive analytics models for customer churn and segmentation
- Built scalable reporting and ML infrastructure for internal business teams
TCS 2013-2017
Data Science Consultant
- Led cross-functional projects in financial analytics
- Delivered machine learning workflows for forecasting and optimization
- Multiple On-the-Spot awards and best developer award
- Authored Reference Architecture doc for NoSQL database for CoE Bangalore
Education
University of Washington, Seattle, US
Master of Science in Information Systems & Data Science 2018
- Graduated with Honors (Top 5 in Class)
Odisha University of Technology & Research (OUTR, Formerly CET), Bhubaneswar, India
Electrical Engineering 2013