Sergio Prada is a seasoned software engineer and startup CTO with 10 years of experience building backend and serverless systems, currently co-founding and leading technology at Metal in New York. He brings hands-on expertise from senior engineering roles at Datadog, Kustomer, and Meta, specializing in observability, cloud-native serverless pipelines, and scalable backend integrations. An active open-source contributor, Sergio implemented a Motorhead memory adapter for langchainjs and improved Datadog's serverless log forwarder, demonstrating practical experience connecting external data sources and robust integration testing. A hackathon aficionado and former founder, he blends rapid prototyping instincts with production-grade engineering and a founder’s eye for product-market fit.
Repo of AWS Lambda and Azure Functions functions that process streams and send data to Datadog
Role in this project:
Backend & DevOps Engineer
Contributions:6 releases, 13 reviews, 17 commits in 4 months
Contributions summary:Sergio primarily contributed to the Datadog serverless functions repository by implementing enhancements to the AWS log forwarder and integration tests. They introduced the ability to forward logs to additional target lambdas and added associated integration tests to validate this functionality. Furthermore, the user updated the versioning and addressed an issue related to stripping digits from tag values, along with various bug fixes and enhancements. They also contributed to infrastructure-related tasks by modifying and testing the integration tests.
Contributions:1 review, 5 PRs, 5 comments in 3 months
Contributions summary:Sergio primarily contributed to the development of a memory adapter utilizing the Motorhead service within the LangchainJS framework. Their work involved implementing the `MotorheadMemory` class, integrating with the Motorhead API, and incorporating functionalities for saving and loading chat history. Additionally, they added comprehensive tests to ensure the adapter's functionality and compatibility. The commits also showcase the user's involvement in the integration with a Metal retriever, indicating the user's experience with external data sources.
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