Joshua Kim
Executive Director - Data Science FSAI Labs
Greater Sydney Area Australia
Summary
🤩
Rockstar🎓
Top SchoolJoshua Kim is Head of Advanced Analytics based in Sydney with nine years of hands-on data science experience and a PhD candidacy focused on conversational NLP. He helps organisations turn unwieldy or high-variance data into actionable AI solutions, from claims automation and predictive modelling for ASX200 wagering to geospatial strategy for a leading university. At Future Secure AI he applies multi-agent GenAI and modern tooling (LangChain, LlamaIndex, MLflow) to automate complex workflows, and his open-source contributions include enhancing Microsoft's popular AutoGen demos for agentic AI. He pairs production-grade engineering—CI/CD, cloud landing zones and datacenter pipelines—with a track record of shipping high-accuracy NLP systems (95% automation in claims) that deliver measurable cost savings. Clients value his ability to bridge academic NLP research and pragmatic deployment to unlock value from emails, invoices, voice and social data.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Business Administration (B.B.A.) (Double Degree), Finance, General, Bachelor of Business Administration (B.B.A.) (Double Degree), Finance, General at National University of SingaporeThe University of SydneyGCE 'A' Levels, GCE 'A' Levels at Anderson Junior CollegeStudent Exchange Program, Student Exchange Program at The University of British ColumbiaData Mining and Applications Graduate Certificate Program, Data Mining, Data Mining and Applications Graduate Certificate Program, Data Mining at Stanford University
Chinese, English
Github Skills (10)
application-framework10
app-framework10
web-framework10
jupyter-notebook10
python10
agentic10
ai-agent9
agent9
networkx9
pytest8
Programming languages (9)
Github contributions (5)
microsoft/autogen
Oct 2023 - Aug 2024
A programming framework for agentic AI
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:154 reviews, 16 PRs, 80 pushes in 9 months
Contributions summary:Joshua contributed to multiple notebooks demonstrating the use of the AutoGen framework, including hierarchy flow and graph modeling language. Their work involved modifying existing notebooks, adding new functionality, updating links, and incorporating pre-commit changes. They also focused on enhancing the graph group chat functionality. The user's contributions demonstrate their familiarity with AutoGen, and their work is geared towards improving the framework's capabilities and usability.
agentic-aichatgptllm-agentllm-frameworkagentic
SpectData/AnalyticalJunior
Feb 2026 - May 2026
Contributions:19 PRs, 20 pushes, 9 branches in 2 months
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