
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
pygeodesic
March 16, 2021 – November 26, 2024
Python library to compute geodesic distance over a triangular based surface mesh
View Projectmagsac
April 1, 2019 – Present
The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold
View Projecttetgen
June 16, 2018 – Present
Python interface to TetGen: generate tetrahedral meshes from 3D polyhedral domains
View Projectgraph-cut-ransac
September 7, 2017 – November 4, 2025
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
View Projectpyvista
May 31, 2017 – Present
3D visualization and mesh analysis for science and engineering
View Projectpyacvd
September 18, 2015 – Present
Python implementation of surface mesh resampling algorithm ACVD
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and highly specialized in computational geometry, computer vision, and scientific computing. While demonstrating strong technical depth, the breadth of projects might indicate a preference for highly specific research-oriented roles. The lack of team-based or industry-specific projects makes it difficult to assess adaptability to diverse team environments or broader data science applications. The experience level is listed as 0, which contradicts the advanced nature of the projects, suggesting a potential mismatch in self-assessment or a focus on academic contributions rather than industry experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.