Prachi Poddar is an engineering manager with 11 years of experience designing and leading large-scale, low-latency systems that serve millions of users. She has a strong track record shipping 0→1 products and re-architecting mature platforms across Twitter, X, Etsy and LinkedIn, including contributions to Topics, Product Mixer, Feature Systems and experimentation tooling. Her work spans realtime ML serving (1M QPS at Etsy), recommendation systems that drove millions of monetizable daily users, and experimentation platforms used broadly for A/B testing. She combines hands-on backend engineering (including open-source contributions to Cloudera Hue) with people leadership—growing teams, promoting engineers and reducing time-to-production for ML features from months to days. Based in Mountain View, she pairs a Stony Brook CS master’s with a pragmatic focus on cost-efficient, production-ready infrastructure, having delivered multi-million-dollar impact through system optimizations and product launches. Colleagues describe her as a coach who turns strong teams into great teams while still diving into code and architecture when it matters.
10 years of coding experience
9 years of employment as a software developer
High School Physics Chemistry Mathematics, High School Physics Chemistry Mathematics at Cambridge Court High School
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Rajasthan Technical University
Master’s Degree Computer Science, Master’s Degree Computer Science at Stony Brook University
Open source SQL Query Assistant service for Databases/Warehouses
Role in this project:
Back-end Developer
Contributions:68 commits, 9 pushes, 2 branches in 2 months
Contributions summary:Prachi primarily contributed to the backend of the Hue SQL Query Assistant service, focusing on bug fixes and feature enhancements related to job browser and data import functionalities. Their work involved modifying code in Python files (`.py`) and Mako templates (`.mako`). The user addressed issues such as error handling, progress reporting, and database interaction within the Hue ecosystem. The user also implemented new features, such as allowing the use of different delimiters to import data into the database.
Contributions:8 pushes, 1 branch in 7 years 7 months
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