Matthew聽Liberman
Consultant at Freelance
Greater Boston United States
Summary
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Rockstar馃帗
Top SchoolMatthew Liberman is a consultant and full-stack problem-solver based in Greater Boston with 14 years of hands-on experience building web apps, automation pipelines, and ML deployment tooling. He combines practical backend and DevOps skills鈥擠ockerfile optimization, multi-stage builds, OpenAPI schema work鈥攚ith frontend and WordPress maintenance to deliver measurable business impact like faster site loads and reduced storage costs. As a freelance consultant he has engineered data extraction and large-scale PDF processing tools and secured HR webapps for legal compliance, often turning messy bilingual inputs into reliable structured data. His open-source contributions include compatibility and deployment fixes for replicate/cog and feature work on signal-cli, reflecting a focus on shipping robust integrations for ML and messaging ecosystems. A practiced teacher and CS tutor, he tailors instruction for learners with disabilities, demonstrating a strong human-centered approach to technology and process improvement. Colleagues rely on him for pragmatic solutions that bridge data, deployment, and user-facing productivity.
14 years of coding experience
2 years of employment as a software developer
Dipl么me d'脡tudes Collegiales (DEC), Dipl么me d'脡tudes Collegiales (DEC) at Dawson CollegeHigh School Diploma, Science & Technology, High School Diploma, Science & Technology at MGR-A.-M.-Parent
French, Russian
Stackoverflow
1,562reputation
139kreached
9answers
43questions
Github Skills (30)
json-rpc10
container10
docker10
messaging10
python10
apidoc10
machine-learning10
dockers10
java10
javas10
api10
signal9
pytorch9
dockerfile9
command-line9
Programming languages (15)
Github contributions (5)
replicate/cog
Jun 2023 - Nov 2024
Containers for machine learning
Role in this project:
ML Engineer & DevOps Engineer
ML Engineer & DevOps EngineerContributions:23 releases, 146 reviews, 116 PRs in 1 year 4 months
Contributions summary:Matthew primarily contributed to the project by addressing issues related to the machine learning model containers. Their commits include changes to the Dockerfiles, particularly optimizing the installation process and incorporating multi-stage builds for efficiency. They also worked on updating the OpenAPI schema generation and fixing bugs within the project. Several commits focus on correcting and adapting code for different Python versions, suggesting a focus on ensuring compatibility and model deployment.
containerscudapytorchdeep-learningdocker
AsamK/signal-cli
Jul 2021 - Oct 2022
signal-cli provides an unofficial commandline, JSON-RPC and dbus interface for the Signal messenger.
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 9 commits, 13 PRs in 1 year 2 months
Contributions summary:Matthew made several contributions to the `signal-cli` project. Their work involved adding new features, such as including the source name in JSON output and adding JSON payment support. The user also updated the code to use a new provisioning URL scheme. Furthermore, the user contributed to the configuration options by adding the `-c` for `--config` functionality and bumping the user agent version.
signalappsignalsignal-clidbusmessaging
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