Mark Sze

Senior Software Engineer at AG2

Sydney, New South Wales, Australia
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Summary

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Mark Sze is a Senior Software Engineer based in Sydney who focuses on applying agentic AI to real-world business problems and aligning multi-agent LLM workflows with product needs. With five years in hands-on AI engineering and a long technology career that includes founding a startup and regional leadership roles, he blends technical delivery with commercial sensibility. He is an active maintainer on Microsoft Research’s AutoGen, contributing backend code and practical documentation that expanded support for non‑OpenAI models like LM Studio and Mistral. At AG2 he supports an open AgentOS ecosystem, helping developers and businesses integrate agentic capabilities into production. Known for turning research-grade tooling into usable developer experiences, he pairs deep systems experience—from legacy mainframes to modern LLM stacks—with a pragmatic focus on adoption.
code5 years of coding experience
job9 years of employment as a software developer
bookComputing Science, Computing Science, Computing Science, Computing Science at University of Technology Sydney
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Stackoverflow

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Github Skills (9)

autogen10
agent10
ai-agent10
python10
documentation10
llm10
pytest9
agentic9
testing9

Programming languages (5)

TypeScriptJavaScriptGoJupyter NotebookPython

Github contributions (5)

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microsoft/autogen

Jan 2024 - Nov 2024

A programming framework for agentic AI
Role in this project:
userBackend Developer & Technical Writer
Contributions:160 reviews, 32 PRs, 177 pushes in 9 months
Contributions summary:Mark primarily focused on enhancing the documentation and adding features related to non-OpenAI models within the AutoGen framework. Their contributions included creating documentation sections, adding examples, and providing guidance on using different models like LM Studio and Mistral. The user also implemented features like the ability to specify the 'role' field for select speaker messages in Group Chats. They made code changes in the groupchat, test, and documentation files.
agentic-aichatgptllm-agentllm-frameworkagentic
marklysze/autogenlocalllm

Feb 2024 - Apr 2024

AutoGen tweaks for better Local/Alt LLM support
Contributions:39 pushes, 19 branches in 1 month
autogenllm
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