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QMATH
Data Scientist
June 28, 2026 – Present
tutorial-h2o-qpe
March 12, 2026 – Present
H2O ground state energy via Hadamard-test QPE — a Claude Code tutorial
View Projectffge-avx512
August 23, 2024 – September 4, 2024
SIMD implementation of fraction-free Gaussian elimination over a prime field
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and highly specialized in low-level programming, scientific computing, and quantum mechanics. While demonstrating deep technical interest, the diversity of projects in typical data science domains (e.g., machine learning, statistical modeling, big data platforms) is limited. The current role as a Data Scientist at QMATH suggests professional alignment, but the project portfolio leans heavily towards research-oriented, performance-critical engineering rather than broad data science applications. This might indicate a fit for highly specialized data science roles, but potentially less for generalist positions requiring broader ML/statistical experience.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the technical project descriptions. The psychometric test score is 0, indicating no data was provided for this assessment.