Alexander Davis
Lead Software Engineer at Archlet
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolAlexander Davis is a Lead Software Engineer based in Zurich with 11 years of experience building full-stack applications using React, TypeScript, Node, Python and Elixir. He has a strong track record of improving developer experience and reliability—introducing GraphQL, CI/CD, Helm, testing culture and trunk-based development at multiple teams—and currently leads engineering at Archlet. Comfortable across frontend and backend, he has shipped realtime systems, payments integration, and cloud-native deployments while mentoring teams on TypeScript, testing and Kubernetes. An active hacker—having attended 17 hackathons across nine countries—and an open-source contributor, he extended tess4j to add document creation with word-level confidence and PDF→TIFF conversion backed by JUnit tests. A First Class Computer Science graduate from King’s College London, he blends academic rigour with pragmatic product-focused delivery.
11 years of coding experience
8 years of employment as a software developer
A levels, Chemistry, Mathematics and Economics, A levels, Chemistry, Mathematics and Economics at King's school in MacclesfieldBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at King's College London
English, German, French
Github Skills (10)
javas10
junit10
unit-test10
java10
pdf-conversion9
file-processing8
file-handling8
image-processing8
fileio8
file-access8
Programming languages (9)
Github contributions (5)
nguyenq/tess4j
Jun 2018 - Jun 2018
Java JNA wrapper for Tesseract OCR API
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 commits, 1 PR, 1 comment in 1 day
Contributions summary:Alexander implemented and integrated a new feature within the `tess4j` project related to document creation with results. They extended the `Tesseract` and `Tesseract1` classes with `createDocumentsWithResult` methods, enabling the creation of documents and the retrieval of word-level confidence scores. Additionally, the user incorporated PDF to TIFF conversion within this method. They also created the `Result` class and implemented several tests using JUnit to validate functionality.
apitesseract-ocr-apiocrocr-apijna
jaysuz/vParty
Nov 2019 - Dec 2019
VK mini-app
Contributions:54 commits, 23 PRs, 52 pushes in 17 days
vk-mini-appreactmini-app
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