Jaya Gupta is a partner at Foundation Capital in San Francisco with eight years of experience sourcing and advising early-stage AI and fintech companies, and active board observer roles at Arize AI, Skyflow and Docket. Trained at Georgia Tech with study abroad at Oxford, she blends investment banking rigor (former RBC analyst and Raymond James chief of staff) with hands-on technical fluency—contributing SimPy-based queueing simulations as a data scientist to Real Python materials. She writes and speaks on AI-driven automation and service paradigms, framing how LLMs reshape RPA and software design. A born-again Christian who serves global organizations as a technical writer, web developer, and data analyst, she brings a rare mix of dealcraft, product intuition, and developer empathy to founder partnerships.
8 years of coding experience
3 years of employment as a software developer
Study Abroad Finance and Information Systems, Study Abroad Finance and Information Systems at University of Oxford
Bachelor of Science (BS), Bachelor of Science (BS) at Georgia Institute of Technology
Bonus materials, exercises, and example projects for our Python tutorials
Role in this project:
Data Scientist
Contributions:14 commits, 5 PRs, 11 pushes in 4 months
Contributions summary:Jaya primarily worked on a simulation project related to queueing theory using the SimPy library. Their contributions involved creating the initial simulation file, updating it with a docstring, and refactoring and renaming the file. The user also implemented user input and refactored the code to improve readability and maintainability. Finally, they implemented calculation of average wait time.
Contributions:8 PRs, 51 pushes, 7 branches in 2 years 2 months
pythoncppcoding-skillscompetitive-programmingjava
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