Adam Melnick
Software Architect at Iguazio (a McKinsey company)
Israel
Summary
🤩
Rockstar🎓
Top SchoolAdam Melnick is a Software Architect based in Israel with 11 years of experience designing and building backend and MLOps systems across high-performance, production environments. Currently leading architecture at Iguazio after progressing through senior and backend engineering roles there, he brings deep expertise in serverless event processing and CI/CD-driven ML platforms. His open-source contributions to notable projects like MLRun and Nuclio reflect hands-on problem-solving in runtime reliability, image building, import/export tooling, and permission integration. A former Unit 8200 developer and team lead, he combines disciplined operational practices with product-focused engineering, often addressing subtle failure modes in distributed systems.
10 years of coding experience
9 years of employment as a software developer
High School Diploma Computer Science, High School Diploma Computer Science at ORT GuttmanBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The Open University of Israel
English, Hebrew
Github Skills (19)
kubernetes10
docker10
python10
back-end-development10
dockers10
go10
mlops10
api10
kubernetes-pods10
cicd9
apidoc9
workflow-engine9
serverless9
machine-learning8
container8
Programming languages (6)
Github contributions (5)
mlrun/mlrun
Jun 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
MLOps EngineerContributions:539 reviews, 73 commits, 448 PRs in 7 months
Contributions summary:Adam primarily focused on improving the MLRun platform by addressing issues related to project management, runtime environments, and image building. They fixed bugs in project label handling, improved the get logs mechanism for runtimes, and enhanced the image pushing process to the configured registry. The user's contributions also included addressing failing run states, and fixing errors with the HTTP retry mechanism.
experiment-trackingpythondata-sciencecmlmachine-learning
nuclio/nuclio
Apr 2020 - Nov 2021
High-Performance Serverless event and data processing platform
Role in this project:Back-end Developer
Back-end DeveloperContributions:65 reviews, 25 commits, 35 PRs in 1 year 7 months
Contributions summary:Adam primarily focused on enhancing the back-end functionality of the platform. Their contributions include implementing features for importing and exporting functions and projects, addressing a bug related to imported states, and enabling configurable service types. Further work involved integrating OPA for permission management and introducing nuctl command enhancements such as skipping projects during import. These changes likely involved modifications to the server-side logic and API endpoints.
containersfaas-platformfunctionsdata-processingserverless
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