Michael Berg
Senior Technical Team Lead at LOVOO
Greater Dresden Area Germany
Summary
🤩
Rockstar🎓
Top SchoolMichael Berg is a Senior Technical Team Lead with 12 years of experience building and shipping iOS products from Dresden, Germany, currently leading engineering at LOVOO after rising through senior iOS roles. He blends hands-on mobile engineering and machine learning experience—contributing to projects like an on-device CoreML NSFW detector that added real-time camera integration—with a strong focus on testing and automation exemplified by enhancements to Danger's Swift plugin. Comfortable moving between code, architecture, and team coaching, he has a background in media informatics and a track record of simplifying dependencies and hardening CI/test workflows. Known for pragmatic technical leadership, he regularly balances product delivery with improving developer experience under production constraints.
12 years of coding experience
6 years of employment as a software developer
Diplom, Medieninformatik, Diplom, Medieninformatik at Hochschule für Technik und Wirtschaft Dresden
English, Russian, German
Github Skills (12)
computer-vision10
machine-learning10
swift10
swiftlint10
ios10
coreml10
xctest10
test-automation10
modeling9
trainings9
githubaction-workflow7
github-ci7
Programming languages (7)
Github contributions (5)
lovoo/NSFWDetector
Aug 2018 - Nov 2021
A NSFW (aka porn) detector with CoreML
Role in this project:
ML Engineer
ML EngineerContributions:2 releases, 5 reviews, 33 commits in 3 years 3 months
Contributions summary:Michael primarily contributed to the machine learning aspects of the project, focusing on improving the NSFW detection model. They increased the model's accuracy by refining the training dataset. Additionally, they added and refined features within the example iOS application, specifically integrating a camera view with real-time NSFW detection and a visual indicator. The user also removed unnecessary dependencies by removing GCD calls from the NSFWDetector implementation.
cocoapodsios-libraryios11machine-learningdetector
danger/swift
Jan 2019 - Feb 2019
⚠️ Stop saying "you forgot to …" in code review
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:11 commits, 2 PRs, 5 pushes in 10 days
Contributions summary:Michael primarily focused on enhancing the testing infrastructure of the `swift` Danger plugin. They modified and added tests to ensure the correct behavior of the SwiftLint integration, including testing various scenarios like custom SwiftLint paths, configuration files, and file filtering. Additionally, they added tests to prevent the execution of SwiftLint when no files are to be checked.
release-managementstopreviewforgotxcodebuild
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