Josh Dimarsky is a Senior Software Engineer with nine years of experience building data-driven systems and API-first services across AI and media platforms. He has moved from hedge fund data engineering and trading operations into senior roles at Audible and Amazon Alexa AI, and now focuses on AI product engineering at Blueflame AI. Josh contributes to high-profile open-source tooling such as pandas—adding pluggable SQL performance hooks and improving GroupBy behavior—demonstrating attention to both performance and developer ergonomics. Comfortable in backend systems, data pipelines, and production-scale services, he pairs pragmatic engineering with a penchant for simplifying inefficient workflows. Based in the United States, he brings cross-domain experience from finance to consumer AI, offering a rare mix of quantitative, operational, and large-scale software expertise.
9 years of coding experience
9 years of employment as a software developer
Touro University
Talmudical Yeshiva of Philadelphia
Bachelor of Science (BS) Liberal Arts and Sciences/Liberal Studies, Bachelor of Science (BS) Liberal Arts and Sciences/Liberal Studies at Excelsior University
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Back-end Developer
Contributions:15 reviews, 5 commits, 5 PRs in 1 year 4 months
Contributions summary:Josh primarily contributed to improving the pandas library's functionality and documentation. They addressed a deprecation warning related to DataFrameGroupBy indexing, modifying code and adding documentation to address the issue. The user also introduced a new `engine` keyword in the `to_sql` method, enabling pluggable SQL performance and updating related documentation. Furthermore, they added the bcpandas library to the documentation's ecosystem section.
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Josh Dimarsky - Senior Software Engineer at Blueflame AI