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Rutgers University
Data Scientist
June 25, 2026 – Present
Formal-LLM
November 15, 2023 – June 17, 2024
Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents
View ProjectWarAgent
November 14, 2023 – March 5, 2024
WarAgent: LLM-based Multi-Agent Simulation of World Wars
View ProjectOpenP5
April 19, 2023 – March 4, 2025
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on advanced AI research and development, particularly in LLMs, multi-agent systems, and recommender systems. This aligns well with a research-oriented or innovative data science culture. The sheer volume of personal projects indicates a high level of passion and intrinsic motivation. However, the lack of diverse project types (e.g., business intelligence, traditional machine learning, data engineering) and the absence of team-based project descriptions make it difficult to assess adaptability to varied team structures or business-driven data science initiatives. The single listed professional experience as 'Data Scientist' at Rutgers University, starting in the future (2026), provides insufficient information for a comprehensive cultural fit assessment in a professional setting.
Soft Skills & Operational Fit
The candidate's extensive personal projects, particularly those involving multi-agent simulations and operating systems for AI agents, suggest strong problem-solving skills, self-direction, and a proactive approach to learning and development. The descriptions indicate an ability to tackle complex, cutting-edge problems. However, without formal assessment data for communication, logical reasoning, or teamwork, it is difficult to fully assess soft skills and operational fit.