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Hello 👋 I'm Jack and I build tech at Oblivious. Some of the tech is _pretty_ cool... if I may say so myself. Check it out: https://oblivious.com
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Oblivious
Data Scientist
June 26, 2026 – Present
epsilon-registry
June 6, 2024 – April 3, 2025
Sharing differential privacy use case information
View Projectopendp-logger
September 25, 2022 – April 7, 2025
Wrapper for OpenDP to dump and load from JSON
View Projectenclave_workshops
July 28, 2022 – August 15, 2022
This repository aims to be an ever-expanding workshop series that covers all things enclaves 📚
View ProjectNUIG_Workshop
March 4, 2022 – March 4, 2022
Some Jupyter Notebooks for the NUIG PETs Lecture and Workshop
View Projecttutorials
November 29, 2021 – April 1, 2022
To show usage of some aws services in three language.
View ProjectSpecial_Matrices
January 31, 2016 – January 31, 2016
A repository of matrices with special inversion properties
View ProjectIPyNotebook_MachineLearning
October 16, 2014 – July 27, 2015
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research and theoretical aspects of data science, particularly in machine learning, quantum computing, and differential privacy. This aligns well with roles requiring deep technical exploration and problem-solving. However, the projects are predominantly personal and lack explicit team collaboration or large-scale deployment experience, which might indicate a need for development in a collaborative, production-oriented environment. The current role as 'Data Scientist' at Oblivious is a good fit for the target role, but the start date is in the future (2026), suggesting this is a prospective or future role, not current experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.