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Tamar S.
Bio
Software developer with strong analytical thinking and solid problem-solving skills. Detail-oriented, reliable, and able to focus on complex tasks over time. Motivated to understand systems thoroughly, and continue learning and growing professionally.
Skills
Python
C++
Node.js
.NET
React
Docker
CI/CD
gRPC
CUDA
TensorFlow
PyTorch
tox (tests)
Quantus
Captum
Bootcamp Project
Framework and application for evaluating explainability methods in CV
Mentored by: Applied Materials
Mentors:
Hadassah HeberOdeliah Movadat
Data Science Bootcamp 2025 (Data)
Responsibilities:
Researching and learning the Axiomatic category in Qunatus XAI metrics
Fix the NonSensitivity metric and implement it in the application. The PR of the correct NonSensitivity is here Fix NonSensitivity metric
Study and explanation for the group of the Detecting Concepts chapter from the book Interpretable ML.
Creating wrappers for AMAT's explain functions to fit the format of the Quantus metrics library.
Studying the complexity metric for implementation in the application.
Try to create a system that catches errors from metrics in a generic way and displays them to the user.
Click to enlarge
Additional Projects
A website for ordering artistic paintings - Full client - server Rest API system
English Level
Working Proficiency