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PhD Student @ Grenoble - Machine Learning Theory
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Synthetic-Respondents
April 11, 2026 – Present
Synthetic answers from LLM respondents using data
View ProjectPractical-Neural-Network-Training
October 30, 2024 – October 30, 2024
Understand how to practically train deep neural networks on MNIST dataset
View ProjectAifor-Loop
October 24, 2024 – October 25, 2024
Give a Multi-Modal LLM full access of your linux computer
View ProjectGradient-Work
October 19, 2024 – October 19, 2024
Experimental framework for research on Neural Networks
View Projectskwdro
March 22, 2023 – Present
Distributionally robust machine learning with Pytorch and Scikit-learn wrappers
View ProjectMCTS-for-DL-PA
August 2, 2021 – September 2, 2021
DL-PA Solver using Monte Carlo Tree Search
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects and self-directed learning, which can be a positive for cultural fit in research-oriented roles. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment. The project diversity is good within the ML/AI domain, but there's limited exposure to other aspects of data science like data engineering or MLOps.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.