Rong Rong is a research engineer in the Bay Area with a decade of experience building high-performance stream processing and real-time analytics platforms, having driven Flink-based systems at Uber and Pinot work at StarTree. Currently at Google DeepMind and a long-time Apache committer and PMC member, she blends production-grade engineering with research instincts, recently contributing to LLM work at Character.AI. An active open-source maintainer, she has contributed practical integrations and scraper-hardening fixes to popular projects like RSSHub and built a polished RSS-to-Telegram bot, showing an eye for user-facing tooling as well as backend scale. Her background in electrical engineering and applied mathematics (UCLA) underpins a data-driven approach to systems design, and she brings an uncommon mix of low-level performance focus and attention to developer experience.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.) Electronic and Computer Engineering, Bachelor of Science (B.Sc.) Electronic and Computer Engineering at Zhejiang University
University of California, Los Angeles
Exchange Research Scholar Electrical and Computer Engineering, Exchange Research Scholar Electrical and Computer Engineering at National University of Singapore
A Telegram RSS bot that cares about your reading experience
Role in this project:
Back-end Developer
Contributions:16 releases, 336 reviews, 798 commits in 2 years 4 months
Contributions summary:Rong primarily contributed to the development of the back-end functionality of the RSS to Telegram Bot project. They implemented features for handling HTML parsing and text splitting, and designed components for sending text and media messages. The user also added support for processing videos and improved the overall efficiency of the message sending process within the Telegram Bot.
Contributions:80 reviews, 103 commits, 133 PRs in 1 year 2 months
Contributions summary:Rong primarily contributed to the RSSHub project by implementing new routes and modifying existing ones to support various platforms and services. They added a route for the "华南理工大学教务处学院通知" and for parsing profile data and fetching stories from Picuki, indicating work on data extraction and API integration. Additionally, the user implemented support for filtering and other functional enhancements in several routes, like the telegram channel. The user also made general code changes to improve the robustness of the code in response to potential anti-crawler mechanisms and other general bug fixes.
everythingrssrss-readertiktokwechat
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