Max Novich

Member Of Technical Staff at Runlayer

Vancouver, British Columbia, Canada
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Summary

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Rockstar
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Top School
Max Novich is a Vancouver-based software engineer with 11 years of experience building developer-facing infrastructure that helps teams ship software faster. He spans full-stack development and has practical expertise securing and extending AI tooling, exemplified by contributions to the open-source Goose AI agent where he added regex-based shell command protections, a browser toolkit, and a memory system. Trained in computer science at Kyiv Polytechnic Institute, he combines systems thinking with hands-on implementation across backend and frontend domains. Max’s work shows a focus on safe automation and developer ergonomics—helping agents not just suggest code but install, execute, edit, and test it reliably. Colleagues describe him as pragmatic and detail-oriented, able to translate risky automation patterns into auditable, production-ready features.
code11 years of coding experience
job13 years of employment as a software developer
bookIgor Sikorsky Kyiv Polytechnic Institute
languagesHebrew, English, Ukrainian, Russian
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Github Skills (11)

go10
browser-automation10
python9
regular-expression9
memory-management9
selenium-ide8
selenium8
front-end-development6
bash5
github-ci4
githubaction-workflow4

Programming languages (7)

RustSwiftHTMLSvelteAssemblyPythonKotlin

Github contributions (5)

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aaif-goose/goose

Sep 2024 - Jun 2026

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Role in this project:
userFull-stack Developer
Contributions:1 release, 165 reviews, 177 PRs in 1 year 9 months
Contributions summary:Max primarily contributed to the development of the Goose AI agent, focusing on both backend and frontend aspects. They implemented crucial security features by adding regular expression-based checks for potentially dangerous shell commands. Further contributions include the addition of a browser toolkit for web interaction, and the implementation of a memory toolkit to allow the agent to store and retrieve memories.
ai-agentllmmcpacpai
block/ai-migrate

Mar 2025 - Apr 2025

LLM-powered code migrations at scale
Contributions:37 reviews, 9 PRs, 19 pushes in 25 days
code-migrationllm
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