Maxim Tkachenko
Co-Founder at HumanSignal
Lisbon Metropolitan Area Portugal
Summary
🤩
Rockstar🎓
Top SchoolMaxim Tkachenko is a Co-Founder and machine learning engineer with 11 years of experience building production-ready speech recognition and data labeling systems from Lisbon. He combines deep technical chops—contributions to Label Studio’s backend, frontend and ML backend integrating models like Flair, Electra and MMDetection—with a creative background in filmmaking, music production and bass performance. His career spans high-performance ML engineering roles and leadership at HumanSignal, where he focuses on practical tooling for annotation and model integration. The blend of cinema and sound design experience informs a user-focused approach to visualization and annotation UX, while his open-source contributions demonstrate hands-on fluency across Python, React and ML model pipelines.
11 years of coding experience
9 years of employment as a software developer
Lit 1533Lomonosov Moscow State University
English, Russian
Github Skills (40)
continuous-deployment10
pytorch10
javascript10
python10
back-end-development10
machine-learning10
ui-design10
ml-deployment10
flask-ask10
uid10
trainings10
front-end-development10
backend10
react10
flask10
Programming languages (10)
Github contributions (5)
HumanSignal/label-studio
Aug 2019 - Jan 2023
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Role in this project:
Backend Developer
Backend DeveloperContributions:18 releases, 1046 reviews, 1110 commits in 3 years 6 months
Contributions summary:Maxim focused on improving the backend functionality of the `label-studio` project, particularly in areas related to task management, configuration, and the storage of annotations. Their commits demonstrate an understanding of Python and the use of libraries like argparse for handling command-line arguments and Flask for creating a backend server. The changes include enhancements for saving and deleting annotations, along with code modifications to the database interactions.
data-labelinglabel-studiocomputer-visiondeep-learningimage-annotation
HumanSignal/label-studio-ml-backend
Apr 2021 - Jan 2023
Configs and boilerplates for Label Studio's Machine Learning backend
Role in this project:ML Engineer
ML EngineerContributions:68 reviews, 34 commits, 147 PRs in 1 year 8 months
Contributions summary:Maxim primarily contributed to the machine learning backend of the project. Their commits involved modifying existing models and integrating new features, such as support for access tokens for data retrieval and fixing image path resolution. They worked with the `label_studio_ml` library, implementing and adapting models for various tasks, including speech recognition (ASR) and text classification. Additionally, the user updated and integrated machine learning models based on Flair, Electra, and MMDetection.
backendlabel-studiomachine-learning
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