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tsp
June 10, 2023 – June 10, 2023
Graph Convolutional Network for the Travelling Salesman Problem implemented in PyTorch.
View Projectphrt_opt
June 10, 2023 – June 10, 2023
Set of phase retrieval algorithms developed in my thesis and implemented in Python.
View Projectcvnn
September 6, 2020 – March 14, 2022
Complex-valued neural network implementation in TensorFlow.
View Projectpyfluid
September 16, 2019 – April 27, 2022
Simulation of the steady and unsteady flows of a viscous incompressible fluid
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic/research-oriented numerical and machine learning tasks, primarily in Python. While this demonstrates strong analytical capabilities, there is a lack of projects demonstrating experience with typical backend engineering concerns such as API development, database interactions, distributed systems, or cloud platforms. This suggests a potential misalignment with a standard 'Backend Engineer' role, which typically requires more emphasis on scalable, robust service development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.