Sida Shen
Product & Product Marketing Manager at CelerData
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSida Shen is a product and product-marketing manager with eight years of engineering experience focused on data analytics, machine learning applications, and open-source databases. Based in Menlo Park, she has shifted from hands-on data science and engineering roles to owning product strategy and go-to-market for StarRocks storage engine and other database projects at PhoenixAI (formerly CelerData). She combines technical depth—contributing backend code to Milvus bootcamp for unstructured data search—with GTM chops like partnerships, community building, webinars, and sales enablement. Previously she built a B2B education platform that reached $50K ARR in year one, demonstrating a pragmatic founder’s instinct alongside research experience from Penn State. Known for translating complex storage and real-time data architecture into practical messaging and developer-focused content, she thrives at the intersection of engineering, product, and open-source communities.
8 years of coding experience
5 years of employment as a software developer
Dual Title Master of Science Industrial Engineering and Operations Research, Dual Title Master of Science Industrial Engineering and Operations Research at Penn State University
Github Skills (6)
milvus10
python10
unstructured-data9
backend7
deep-learning6
deeplearning-ai6
Programming languages (9)
Github contributions (5)
milvus-io/bootcamp
Jul 2021 - Sep 2021
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:51 reviews, 8 commits, 71 PRs in 1 month
Contributions summary:Sida primarily contributed to the backend codebase by modifying and adding comments to Python scripts related to Milvus operations. They updated scripts for benchmark testing, including modifications to the main execution flow and helper functions. The user also added comments to existing code, specifically referencing audio similarity search functionality, and updated code in the quick deploy server directory.
pythonimage-recognitionimage-classificationunstructured-datareverse-image-search
ss892714028/Maze-PathFinder-Visualization-Python
Feb 2021 - Feb 2021
2D maze path solver visualizer implemented with python
Contributions:2 releases, 1 review, 58 commits in 11 days
pythonvisualizersolvermazepath-solver
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