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ECE Grad Student @TUM/Stanford
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technical University of Munich & Stanford University
Data Scientist
June 29, 2026 – Present
KAN-EML
May 22, 2026 – Present
This project asks whether the learnable edge functions in KAN-like models be restricted to a more hardware native exp/log primitive family. Part of TUM Chair of EDA porject.
View ProjectcomputerVision
June 7, 2023 – June 9, 2023
Repository für die Computer Vision Challenge 2023
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse in technology (JavaScript, CSS, HTML, Shell, Swift, Matlab, Python), which indicates a broad interest but less focused experience directly aligning with a senior Data Scientist role. The single listed professional experience is current and recent, making it difficult to assess long-term cultural fit or team collaboration experience. The 'experienceLevel' is 0, which contradicts the 'Data Scientist' role at TUM & Stanford, suggesting a potential mismatch in self-assessment or a very early career stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.