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CS PhD Candidate at Cornell University
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cornell University
Data Scientist
June 27, 2026 – Present
GenDB
February 8, 2026 – Present
GenDB, an LLM-Powered Generative Query Engine Built for the Future
View ProjectSQLBarber
July 10, 2025 – Present
SQLBarber is a system based on Large Language Models (LLMs) to generate customized and realistic SQL workloads.
View ProjectGPTuner
November 1, 2023 – July 3, 2025
GPTuner is a manual-reading database tuning system leveraging domain knowlege automatically and extensively to enhance knob tuning process.
View ProjectPathBee
September 29, 2023 – October 27, 2025
PathBee is a novel framework based on Graph Neural Networks that offers significant improvements to the existing 2-hop labeling-based approaches.
View ProjectApriori-in-Rust
May 23, 2023 – May 23, 2023
A simple Rust Implementation of Apriori Algorithm for finding Frequent sets and Association Rules
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in cutting-edge areas like LLMs, database systems, and graph neural networks, which aligns well with an innovative and research-oriented culture. The diversity of projects and technologies (Python, C++, Rust, JavaScript, HTML/CSS) indicates adaptability and a broad technical curiosity. However, the lack of team-based projects or explicit collaboration details makes it challenging to fully assess cultural fit beyond technical alignment. The candidate's experience level is listed as 0, which contradicts the 'Data Scientist' role at Cornell University, suggesting a potential mismatch in self-assessment or a very recent start in the role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong problem-solving orientation and an ability to work on complex technical challenges. However, without specific assessment data on communication, teamwork, or stress handling, it is difficult to fully assess soft skills and operational fit. The candidate's experience at Cornell University as a Data Scientist, though current, lacks detailed responsibilities or achievements to infer operational fit.