Jacob Tomlinson

Data Scientist

https://talent.gravityer.com/jacob-tomlinson

Building @rapidsai and @dask at @NVIDIA. Tinker with @kr8s-org in my spare time. he/him.

nvidia

Key Strengths

Extensive experience with Dask for parallel computing and task scheduling, highly relevant for Data Scientist roles.
Proficiency in Python, a core language for data science and machine learning.
Experience with GPU programming (CUDA, C++, Fortran) and accelerated computing, indicating a strong foundation for performance-critical data science tasks.
Familiarity with containerization (Docker, Kubernetes) which is valuable for deploying and managing data science workflows.
Experience with Jupyter Notebooks for interactive data analysis and development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a strong inclination towards open-source contributions and community involvement, particularly around Dask and NVIDIA's accelerated computing initiatives. This suggests a collaborative and knowledge-sharing mindset. However, the projects are heavily focused on infrastructure and tooling around data science rather than direct data science modeling or analysis, which might indicate a slightly different cultural fit for a pure 'Data Scientist' role without a strong MLOps or infrastructure component.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

accelerated-computing-hub

June 14, 2024 – Present

NVIDIA curated collection of educational resources related to general purpose GPU programming.

View Project

container-canary

March 15, 2022 – September 2, 2025

A tool for testing and validating container requirements against versioned manifests

View Project

gpu-python-tutorial

July 23, 2021 – October 15, 2024

GPU Development in Python 101 tutorial

View Project

gha-find-replace

December 5, 2019 – Present

A GitHub Action to find and replace strings in project files.

View Project

dask-kubernetes

January 3, 2018 – Present

Native Kubernetes integration for Dask

View Project

dask-docker

June 1, 2017 – Present

Docker images for dask

View Project

dask-labextension

September 26, 2016 – June 2, 2025

JupyterLab extension for Dask

View Project

opsdroid

July 23, 2016 – Present

🤖 An open source chat-ops bot framework

View Project

carte-noire

March 20, 2015 – February 29, 2024

A simple jekyll theme for blogging

View Project

dask

January 4, 2015 – Present

Parallel computing with task scheduling

View Project

Key Strengths

Extensive experience with Dask for parallel computing and task scheduling, highly relevant for Data Scientist roles.
Proficiency in Python, a core language for data science and machine learning.
Experience with GPU programming (CUDA, C++, Fortran) and accelerated computing, indicating a strong foundation for performance-critical data science tasks.
Familiarity with containerization (Docker, Kubernetes) which is valuable for deploying and managing data science workflows.
Experience with Jupyter Notebooks for interactive data analysis and development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Jacob Tomlinson

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit