Alexander P
Member Of Technical Staff at OpenAI
California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlexander P is a Member of Technical Staff at OpenAI with 11 years of experience building scalable infrastructure, distributed systems, and AI-driven products. He has founded multiple startups (YouML, Nekton.ai) focused on automated workflows and model-serving for image generation, and previously led exabyte-scale data lake work as a Sr. Staff Engineer at LinkedIn. His background ranges from low-level C++ systems and transactional semantic stores to Kubernetes-based service platforms and resilient file synchronization for billions of files. An active open-source contributor, he has improved robustness and integration in the widely used Apache Gobblin data integration framework, including OAuth support and cluster-resolution fixes. Based in California, he blends hands-on engineering with product-minded founder experience, often tackling end-to-end problems from algorithm and infrastructure to production reliability. Less obvious: he repeatedly builds workflow engines that turn plain-English intent into automated, scalable processes.
11 years of coding experience
20 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Peter the Great St.Petersburg Polytechnic University
Github Skills (12)
javas10
azkaban10
data-integration10
java10
apache9
apidoc9
api9
shell8
script8
sh8
scripting8
oauth8
Programming languages (10)
Github contributions (5)
apache/gobblin
Jan 2020 - Sep 2021
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:212 reviews, 22 commits, 67 PRs in 1 year 8 months
Contributions summary:Alexander primarily contributed to bug fixes and enhancements within the Apache Gobblin data integration framework. They addressed error handling issues in shell scripts and implemented OAuth token support for Azkaban, a workflow management system. Furthermore, the user worked on refining cluster name resolution and extending the Azkaban client with new API calls for improved functionality. Their changes indicate a focus on improving the robustness and integration capabilities of the Gobblin system.
big-datadata-ingestiondata-integrationreplicationdata
aplex/incubator-gobblin
Oct 2019 - Sep 2021
Gobblin is a distributed big data integration framework (ingestion, replication, compliance, retention) for batch and streaming systems. Gobblin features integrations with Apache Hadoop, Apache Kafka, Salesforce, S3, MySQL, Google etc.
Contributions:87 pushes, 27 branches in 1 year 11 months
apache-hadoopapache-kafkabig-datagobblinmysql
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