*Hi Danny and Beam Dev Team,*
I hope you're doing well. I am interested in contributing to the *"Beam ML
Vector DB/Feature Store Integrations"* project as part of GSoC and would
love to get more insights into the project’s scope and expectations.
About Me
I am a software engineer passionate about distributed systems and machine
learning infrastructure. I have been actively contributing to Apache
projects and open-source communities. Below is a summary of my
contributions:
*Previous Contributions:*
- *Apache Airflow*
- 10+ contributions via PRs and issues
- 5+ merged PRs
- Active daily participation in the Slack community
- Currently working on HTTP operator improvements
- *Shell_sage*
- Implemented a logging flag feature
- Created SQLite database integration for log storage
- Successfully merged PR
- *Other Apache Projects*
- Contributions to Apache ZooKeeper
- Documentation improvements for Apache Maven
- Active participation in MSS and SugarLabs
*My Profiles:*
- *GitHub:* https://github.com/aditya0yadav
- *LinkedIn:* https://www.linkedin.com/in/2580aditya/
I would love to understand more about this project, specifically:
1. What are the key technical challenges in integrating Beam with
Pinecone and Tecton?
2. Should the connectors support both batch and streaming modes?
3. Are there any existing patterns or reference implementations to
follow?
Looking forward to your guidance and hoping to contribute meaningfully to
the project.
*Best regards,*
Aditya Yadav
adiworkprof...@gmail.com
