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MinTOE
June 6, 2026 – Present
A Minimal Source-Realization Framework from Action-Paired Measurement, Triadic Flavor, and Effective Probability
View Projectasha-engine
May 14, 2026 – Present
A theorem-gated finite Clifford-geometry engine reconstructing the Standard Model law-space, its spectral-action embedding, and a Higgs one-form edge-measure tree proxy | cleanly separating native derivations from bridge physics, seals, and open frontiers.
View ProjectCultural Fit Analysis
The candidate's projects are highly specialized and theoretical, focusing on fundamental physics and mathematical modeling. While demonstrating intellectual curiosity, the direct applicability to a typical 'Data Scientist' role, which often involves business-oriented data analysis, machine learning model deployment, and stakeholder communication, is not immediately clear. The projects suggest a strong research inclination, which may align with R&D-focused data science roles but might be a mismatch for more applied, product-driven positions. The lack of team-based projects or industry experience makes it difficult to assess collaboration or adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The project descriptions are highly technical and abstract, making it difficult to infer communication style or collaboration aptitude.