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ML + CV👍
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
simvs_lighting_dataset
May 16, 2025 – May 17, 2025
simvs_lighting_dataset — GitHub repository
View Projectrealmdreamer.github.io
April 10, 2024 – March 12, 2025
RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion
View Projectrealmdreamer
April 9, 2024 – March 17, 2025
Code for RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion [3DV 2025]
View ProjectPeriodic-Activations
November 30, 2020 – December 2, 2020
We propose a novel architecture that performs at the same level as the positional encoding from NeRF, but only requires a single sin activation and no preprocessing.
View Projectalextrevithick.github.io
October 8, 2020 – September 24, 2025
alextrevithick.github.io — GitHub repository
View ProjectChessAI
May 12, 2020 – May 12, 2020
Fail-safe alpha-beta pruning algorithm with quiescence search, chess heuristic, opening book, and endgame table base in Python
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards personal research and academic contributions in computer vision and 3D graphics. While technically impressive, the lack of diverse project types (e.g., business applications, data engineering, A/B testing, statistical modeling) and the absence of professional experience or education make it challenging to fully assess cultural fit for a typical industry Data Scientist role. The focus on cutting-edge research could be a strong fit for an R&D-heavy data science team.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong focus on technical execution and research. Without specific assessment data for soft skills, it is difficult to assess communication, teamwork, or stress handling. The project diversity indicates an ability to work on varied technical challenges.