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NQCP-Phot-Git-Publ-ColourCentreFormation
January 20, 2026 – Present
Data for the publication "Colour Centre Formation in Silicon-On-Insulator for On-Chip Photonic Integration"
View ProjectToricCAsims
March 27, 2023 – May 26, 2024
Code for simulations of cellular automaton decoders and d dimnesional toric codes
View ProjectNonlinear_BosonSampling
November 25, 2021 – November 25, 2021
Nonlinear_BosonSampling — GitHub repository
View Project4x4-interferometer
February 3, 2021 – October 26, 2021
4x4-interferometer — GitHub repository
View ProjectQMLA
June 23, 2017 – March 31, 2023
Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic/research-oriented, focusing on quantum systems and physics simulations. While demonstrating strong technical aptitude, the direct applicability to typical industry data science problems (e.g., business analytics, predictive modeling, machine learning engineering) is not explicitly shown. The breadth of technologies used (Python, C++, Jupyter Notebook, Matlab, Wolfram Language) indicates a willingness to learn and adapt, which is a positive cultural fit indicator. However, the lack of team-based or collaborative project descriptions makes it difficult to assess collaboration fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric or English test scores were provided.