Liran Gida
Backend Team Lead at Iguazio
Herzliya, Tel-Aviv District, Israel
Summary
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Rockstar🎓
Top SchoolLiran Gida is a Backend Team Lead with 11 years of experience building and operating cloud-native, data-intensive systems from Herzliya, Israel. He leads backend engineering at Iguazio, moving up from senior engineer to team lead while focusing on scalable serverless and MLOps platforms. His open-source contributions include context-aware logging and robustness fixes in Nuclio and MLRun—projects central to high-performance serverless processing and production ML pipelines. Comfortable across Python, distributed systems, Kubernetes, and DevOps, he has a track record of cutting runtime and CI flakiness through pragmatic engineering. Collected early experience building taxonomy managers, graph-backed services, and data-mining automation, which gives him a rare blend of product-facing backend design and infra-level hardening.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Software Engineering, Bachelor of Science - BS, Computer Software Engineering at Jerusalem College of Engineering
English, Hebrew
Github Skills (19)
kubernetes10
python10
apidoc10
cicd10
go10
mlops10
api10
computer-engineering10
kubernetes-pods10
logging10
data-engineering9
datastore9
dockers9
docker9
data-storage9
Programming languages (10)
Github contributions (5)
mlrun/mlrun
Sep 2022 - Jan 2023
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:1 release, 1891 reviews, 41 commits in 4 months
Contributions summary:Liran primarily contributed to the backend and DevOps aspects of the MLRun platform. Their commits involved fixing threading issues in the data store, removing debugging print statements from the API, and resolving issues related to completion time in the runtime. They also moved Kubernetes logic to k8s helpers, updated build image scripts, and improved CI system test reports.
experiment-trackingpythondata-sciencecmlmachine-learning
nuclio/nuclio
Mar 2019 - Jan 2023
High-Performance Serverless event and data processing platform
Role in this project:Back-end Developer
Back-end DeveloperContributions:145 releases, 639 reviews, 812 commits in 3 years 11 months
Contributions summary:Liran primarily focused on code related to updating and improving the Nuclio logging system, vendor package updates, and adding features related to handling context within the logging framework. The contributions centered around the usage of a custom logging framework and adjusting existing API calls to include context information. Specific changes include the addition of context-aware logging and the refinement of existing code, such as adding a context and updating vendor packages.
containersfaas-platformfunctionsdata-processingserverless
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