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| 1. | | Gap between data production and consumption (mark-grover.medium.com) | | 12 points by mgrover on Dec 1, 2020 | past | 1 comment | |
| 2. | | What Is Data Science at Lyft? (lyft.com) | | 1 point by mgrover on April 27, 2020 | past | |
| 3. | | Scaling Driver Compliance Across Lyft (lyft.com) | | 4 points by mgrover on Feb 24, 2020 | past | |
| 4. | | Flyte: A Cloud Native Machine Learning and Data Processing Platform (lyft.com) | | 135 points by mgrover on Jan 7, 2020 | past | 19 comments | |
| 5. | | The Machine Learning Software Engineering Interview (lyft.com) | | 238 points by mgrover on Oct 31, 2019 | past | 74 comments | |
| 6. | | Open Sourcing Amundsen: A Data Discovery and Metadata Platform (lyft.com) | | 9 points by mgrover on Oct 30, 2019 | past | 1 comment | |
| 7. | | Solving a linear optimization problem on incentive allocation (lyft.com) | | 115 points by mgrover on Oct 23, 2019 | past | 22 comments | |
| 8. | | Securing Apache Airflow UI with DAG Level Access (lyft.com) | | 8 points by mgrover on Oct 22, 2019 | past | |
| 9. | | The Machine Learning Software Engineering Interview (lyft.com) | | 3 points by mgrover on Oct 22, 2019 | past | |
| 10. | | Operating Apache Kafka Clusters 24/7 Without a Global Ops Team (lyft.com) | | 5 points by mgrover on Sept 24, 2019 | past | |
| 11. | | Making long term forecasts at Lyft (lyft.com) | | 3 points by mgrover on Sept 16, 2019 | past | |
| 12. | | Solving a linear optimization problem on incentive allocation (lyft.com) | | 3 points by mgrover on Sept 3, 2019 | past | |
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