Artur Daschevici
Freelance Data Analysis Applied AI Consultant
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolArtur Daschevici is a freelance Data Analysis and Applied AI consultant based in Zurich with 12 years of software engineering experience, specializing in turning experimental ML work into production-ready systems. He has led hands-on teams and streamlined delivery pipelines at companies like Mobius Labs, combining Docker, Python, and architecture design to reduce developer toil and scale on-prem ML deployments. His background spans fintech, full‑stack, and platform engineering—building regulatory services, React/Node applications, and automation for large Linux clusters—so he bridges product needs and low-level engineering. An active contributor to open-source BDD tooling, he improved core functionality and maintainability of the popular Python lettuce project, reflecting a practical eye for tests and developer experience. Currently he’s deepening his ML/AI and deep learning skills while helping entrepreneurs extract financial-market insights for data-driven algo trading.
12 years of coding experience
11 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Universitatea „Alexandru Ioan Cuza” din Iași
English, French, German
Stackoverflow
1reputation
647reached
1answer
2questions
Github Skills (15)
functional-testing10
unit-testing10
unit-test10
python10
bdd10
functional10
testing10
data-structure9
data-structures9
fastcgi6
nginx6
controller6
django6
pylons6
git4
Programming languages (10)
Github contributions (5)
gabrielfalcao/lettuce
Dec 2013 - Jan 2014
Behavior-driven-development tool for python, inspired by Cucumber for Ruby ⛺
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 commits, 2 comments in 1 month
Contributions summary:Artur contributed significantly to the `lettuce` project, a behavior-driven development tool for Python. Their work involved adding functionality for mapping step tables into different data structures, which included modifications to `lettuce/strings.py`, `lettuce/core.py`, and associated test files. They also fixed a bug related to hardcoded paths, leading to test failures, and made several merges to incorporate upstream changes. These contributions suggest a focus on improving the core functionality and maintainability of the library.
pythongherkintestingbddruby
adaschevici/workshop-end
Feb 2018 - May 2018
Contributions:136 commits, 107 pushes in 3 months
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