Andrew Potter
Lead Developer at Quantum Sand
New Forest, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAndrew Potter is a Lead Developer with 11 years' experience specializing in Ruby on Rails, geospatial web systems, and cross-platform Unity3D applications. Trained in Physics at Royal Holloway, he blends scientific problem-solving with practical engineering—shipping features for biodiversity informatics (UNEP-WCMC) and building an almost-complete education-focused app at Quantum Sand. He pairs backend skills (Postgres/PostGIS, Redis, Elasticsearch, Sidekiq) with front-end and mobile experience, and has contributed QA and test automation improvements to notable AI-data tooling like activeloopai/deeplake. A self-taught technologist from his teens, Andrew also mentors underrepresented coders, tutors mathematics, and pursues ethical pentesting and digital art as creative outlets. He’s pragmatic about tooling (advocated Docker adoption) and curious enough to have discovered and reported Unity3D bugs that earned him recognition.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at Royal Holloway, University of London
English
Stackoverflow
93reputation
6kreached
0answers
1question
Github Skills (10)
pytest10
python10
testing10
data-science8
image-processing7
computer-vision7
machine-learning7
amazon-web-services6
amazon-s36
ruby-on-rails6
Programming languages (14)
Github contributions (5)
activeloopai/deeplake
Feb 2021 - Feb 2021
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:5 commits, 1 PR, 7 comments in 1 day
Contributions summary:Andrew primarily focused on improving the quality and maintainability of the codebase by modifying and expanding existing tests. Their contributions include parameterizing test cases to cover multiple inputs, refining test formatting for improved readability, and generally improving code formatting within the testing framework. The user interacted with the `hub/schema/tests/test_features.py` file, focusing on testing features. These changes aim to increase the robustness and accuracy of the project's automated testing suite.
pythonreal-time-datadata-streamjupyter-notebookvisualize
unepwcmc/go-fox
Jan 2018 - Mar 2020
Contributions:2 releases, 113 PRs, 427 pushes in 2 years 1 month
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