Assaf Ben-amitai
Israel
Summary
🤩
Rockstar🎓
Top SchoolAssaf Ben-amitai is a seasoned software engineer based in Israel with two decades of experience in embedded and distributed systems and over a decade of hands-on professional experience. He blends deep systems-level expertise with practical backend and MLOps work, contributing to notable open-source projects such as MLRun—where he enhanced the feature store, added Redis support, and fixed streaming/AVRO issues for production-ready ML pipelines. Comfortable across storage, messaging, and serving layers, he excels at making complex data flows reliable and maintainable in production. A Tel Aviv University alumnus, Assaf brings a pragmatic, bug-first mindset and a track record of shipping robust integrations that bridge legacy embedded constraints with modern cloud-native ML workflows.
11 years of coding experience
Tel Aviv University
Github Skills (13)
pandas10
machine-learning10
feature-store10
mlops10
python10
redis10
data-engineering10
kafka9
avro9
spark8
data-science8
kubernetes-pods7
kubernetes7
Programming languages (11)
Github contributions (5)
mlrun/mlrun
Aug 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:
MLOps Engineer & Backend Developer
MLOps Engineer & Backend DeveloperContributions:1434 reviews, 35 commits, 1416 PRs in 5 months
Contributions summary:Assaf primarily contributed to the feature store component of the MLRun platform, focusing on enhancing its functionality and integration. Their work included adding support for Redis as a target for feature storage, resolving issues related to Redis and v3io, and fixing bugs in the data store and feature store functionalities. Furthermore, the user addressed problems with the serving component, particularly relating to handling AVRO encoded Kafka messages. They also enhanced feature set passthrough functionalities.
cicdmachine-learningmlopsmlrunpython
assaf758/nuclio
Sep 2021 - Apr 2026
High-Performance Serverless event and data processing platform
Contributions:1 push, 1 branch in 4 years 7 months
stream-processingdata-processingserverlessperformanceevent-driven
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