Jacob Valdez is an API Integration Architect in San Francisco with eight years of software engineering experience building integrations, SDKs, and control planes for ML and agent-based systems. He blends full-stack engineering (TypeScript, Python, React, serverless) with applied machine learning experience, shipping production pipelines and generative-AI experiments across startups focused on AGI infrastructure. Comfortable moving between low-level integration work and higher-level ML orchestration, Jacob has repeatedly accelerated product delivery at early-stage teams like AGI, Deepshard, and FLORA. He pairs a formal CS background with hands-on product and ops experience—an engineer who also led frontline teams and safety programs earlier in his career. Jacob’s portfolio and GitHub show a curiosity-driven practice in AI tooling and creative computation, reflecting both technical depth and a taste for computer art.
7 years of coding experience
3 years of employment as a software developer
Associate of Applied Sciences – AAS Mathematics, Associate of Applied Sciences – AAS Mathematics at Navarro College
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The University of Texas at Arlington
Dual credit with High School Math and Science, Dual credit with High School Math and Science at University of Texas at Tyler
High School Diploma STEM general TEKS, High School Diploma STEM general TEKS at Waxahachie Global High School
Learning machines hath learned much about life, the world, and human idiosyncrasies. This digital treasure trove records a collection of thy fables and ponderances. Contributors are welcome!
Contributions:15 commits, 15 pushes in 1 month
pythonphoneticsrecordsmachinestreasure
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