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Applied AI @OpenAI
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Assessing your cultural and operational fit
OpenAI
Data Scientist
June 28, 2026 – Present
mistralapi-snippets
December 14, 2023 – December 14, 2023
Snippets of code to run MistralAI API using openai and langchain libraries
View ProjectPFamClassifier
June 14, 2022 – June 14, 2022
A repository to classify the PFam dataset, a dataset of proteins as amino-acid chains, available at https://www.kaggle.com/datasets/googleai/pfam-seed-random-split
View ProjectPKLotDetection
June 1, 2022 – June 22, 2022
Classification of parking lots using neural networks
View ProjectPlasmaNet
May 6, 2022 – May 6, 2022
Solving elliptic differential equations using neural networks in plasma fluid simulations. Mirror repository of https://gitlab.com/cerfacs/plasmanet
View ProjectMarkdown2LaTeX
April 6, 2021 – October 15, 2021
Conversion of markdown files to latex files. The output is closer to the original file than a Pandoc conversion. Inclusion of macros is also possible
View ProjectLesAtomesDeSavoie
March 12, 2021 – January 11, 2022
Repository from QuantX Hackaton on Quantum Computing for the Les Atomes de Savoie team
View Projectfdm-operators
June 30, 2020 – November 26, 2020
PyTorch and NumPy implementation of the physical operators (gradient, divergence, curl, laplacian) in Finite Difference formulation over rectangular cartesian grids.
View ProjectCultural Fit Analysis
The candidate's extensive list of personal projects, ranging from numerical mathematics to quantum computing and AI, demonstrates a strong passion for learning and exploration, which aligns well with an innovative culture. The variety of projects also suggests adaptability and a willingness to engage with different technical domains. However, the candidate's experience level is listed as 0, and the only professional experience is a current role at OpenAI starting in the future, which makes it difficult to assess real-world team collaboration and professional work ethic. The target role is Data Scientist, and many projects are highly relevant, indicating a good technical fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of tackling complex technical challenges independently. However, without specific assessment data on communication, logical reasoning, or teamwork, it is difficult to fully assess soft skills and operational fit. The project descriptions are clear and concise, suggesting good written communication.