Jingda Wu
Principal Member Of Technical Staff at Analog Photonics
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolJingda Wu is a Principal Member of Technical Staff and Director of Silicon Photonics with a Ph.D. in Electrical Engineering and over a decade of hands-on experience in optics, photonics, and cryogenic experimental systems. He designs, builds, and automates complex free-space and fiber optical setups—often shot-noise limited—for characterizing quantum materials and integrated photonic circuits, taking projects from FDTD design and fabrication through measurement and analysis. Jingda has a strong track record of interdisciplinary leadership and mentorship, contributing to 13 peer-reviewed publications, two patents, and numerous conference presentations. He also applies software engineering rigor to hardware projects, with recent backend and test-automation contributions to the high-profile Apache Doris analytics database. Based in Boston, he combines deep experimental expertise with production-oriented coding and testing skills, enabling rapid iteration between lab prototypes and scalable photonic systems.
4 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering Nanotechnology, Doctor of Philosophy (Ph.D.) Electrical Engineering Nanotechnology at University of WashingtonB.S. Optics, B.S. Optics at Sun Yat-sen University
English, Chinese, ningbo dialect, Japanese
Github Skills (12)
javas10
query-engine10
databases10
query-optimization10
apache-doris10
sql10
relational-databases10
sql-database10
java10
database10
testing10
olap9
Programming languages (2)
Github contributions (5)
apache/doris
May 2023 - Oct 2023
Apache Doris is a real-time analytics and hybrid search database for AI agents.
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:22 reviews, 8 PRs, 56 comments in 5 months
Contributions summary:Jingda primarily contributed to the Apache Doris database project by adding tests and modifying existing ones. Their work involved adding tests for query rewrite rules, specifically related to filter pushdown and hash condition optimization within joins. The user also modified code related to column name inference for views created from expressions. These contributions indicate a focus on improving query optimization and testing the system's behavior.
ai-agentapache-dorisdatabaseolaphudi
JingDas/doris
Jul 2023 - Oct 2023
Apache Doris is an easy-to-use, high performance and unified analytics database.
Contributions:66 pushes, 11 branches in 3 months
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