Leonardo Setyanto is a software leader and technical co-founder with nine years of experience building web applications and leading engineering teams, currently serving as Co-Founder & CTO of Matrices in San Francisco. As a former Technical Lead at Weights & Biases, he made notable open-source, full‑stack contributions to the widely used wandb platform—working on public APIs, Jupyter integrations, and offline/reporting functionality. Earlier he co-founded CrowdMed (YC W13), building a rapid-development stack and prediction-market driven systems that helped solve hundreds of medical cases and supported a $3.1M seed round. Comfortable across Node, Python/Django, React/Angular and search/datastore tech, he blends product-focused engineering with hands-on feature delivery and UX-driven iteration. A Turing/Dean’s Scholars honors CS graduate from UT Austin, he describes his approach as practical problem‑solving—“writing problems to solve code”—turning messy real-world needs into maintainable systems.
10 years of coding experience
12 years of employment as a software developer
Turing/Dean's Scholars Honors, Computer Science, 3.8 GPA, Turing/Dean's Scholars Honors, Computer Science, 3.8 GPA at The University of Texas at Austin
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
Full-stack Developer
Contributions:12 reviews, 10 commits, 14 PRs in 3 years
Contributions summary:Leonardo contributed to various aspects of the Weights & Biases platform, including enhancements to the public API, improvements to the Jupyter integration, and fixing issues related to offline mode and reports. They made changes to both the backend (`wandb/apis/public.py`) and frontend/client-side integrations (`wandb/jupyter.py`, `tests/test_cli.py`, and SDK-related files). This work demonstrates a broad understanding of the project's codebase, touching on API functionality, user interface elements, and core application logic.
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