Senior Principal Scientist at Oracle AI | ex-Amazon
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Assessing your cultural and operational fit
https://scholar.google.com/citations?user=K69RKB8AAAAJ&hl=en I work on model post-training and building scalable agentic AI systems. My research focuses on model training, AI multi-agents, reasoning, agentic coding, and multimodal AI. Published at top-tier AI conferences, including AAAI, ACL, NAACL, EMNLP, and ICLR.
Cornell University
Bachelor of Science (B.S.), Computer Science
N/A – Present
Cornell University
Doctor of Philosophy (Ph.D.), Computer Science
N/A – Present
Oracle
Senior Principal Applied Scientist at Oracle AI
December 1, 2025 – Present
New York, United States
Amazon Web Services
Senior Applied Scientist at Amazon AI Labs
May 1, 2021 – December 1, 2025
Amazon Web Services
Applied Scientist
October 1, 2017 – April 1, 2021
Cultural Fit Analysis
The candidate has a strong background in research and development within large, innovative tech companies, which suggests a fit for a data-driven, fast-paced environment. The experience with AI-driven data insights platforms (QuickSight, QuickSuite) aligns with the target role of Data Analyst, indicating a potential for cultural fit in an organization valuing data-driven decision-making and advanced analytical approaches. However, the role of 'Data Analyst' typically involves more direct business analysis and reporting, which is not explicitly detailed in the candidate's 'Applied Scientist' roles. The candidate's experience is heavily skewed towards AI/ML model development rather than traditional data analysis.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in science teams, suggesting strong collaboration and project management skills. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is not possible.