Emma X
United States
Summary
🤩
Rockstar🎓
Top SchoolEmma X is a product leader with 11 years of experience building category-defining AI experiences, currently leading Product Innovation for Copilot Mac at Microsoft and scaling copilots used across 173 countries. She blends deep technical fluency—demonstrated by backend contributions to Microsoft’s popular promptflow project optimizing batch data loading and detached-process IO—with strategic product and go-to-market expertise developed in VC and startup roles. Emma helped scale a hardware-tech startup from Series B through IPO, pairing operator experience with early-stage investment insight from her time as a VC. She holds dual graduate credentials from Wharton and the University of Pennsylvania and studied at Tsinghua, which inform her cross-cultural and business-technical perspective. Passionate about consumer AI that integrates intelligence into daily workflows, she focuses on unlocking new user behaviors through seamless UX and systems thinking. Open to collaborations and early-stage ventures, she combines hands-on engineering chops with a founder’s vision for product-market fit.
11 years of coding experience
Master's degree, Computer and Information Technology, Master's degree, Computer and Information Technology at University of PennsylvaniaNational Scholarship, National Scholarship at Tsinghua UniversityMaster of Business Administration - MBA, Master of Business Administration - MBA at The Wharton School
German, English, Chinese
Github Skills (17)
python10
pandas10
azure-cosmos-db9
opentelemetry9
gpt8
batch-processing8
prompt-engineering8
prompt8
api-ai8
prompter8
ai8
llm8
debug8
debugging8
api-design7
Programming languages (2)
Github contributions (4)
microsoft/promptflow
Jan 2024 - Jun 2024
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Role in this project:
Backend Developer
Backend DeveloperContributions:85 reviews, 45 PRs, 84 pushes in 5 months
Contributions summary:Emma primarily contributed to the backend aspects of the `promptflow` repository. They focused on improving data loading efficiency for batch runs by optimizing file reading processes. Their work also involved addressing issues related to the execution environment, specifically handling standard output and error streams in detached processes. Additionally, the user made internal changes to the data structures used for storing run information.
aiai-application-developmentai-applicationschatgptgpt
riddlexu/leetcode_exercise
Jan 2015 - May 2017
Contributions:39 pushes in 2 years 4 months
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