Omri Harel
Software Architect at Amenity Analytics
Israel
Summary
🤩
Rockstar🎓
Top SchoolOmri Harel is a Software Architect and 8200 alum with a decade of engineering experience and seven years in startups building distributed, scalable backend systems for both cloud and on-premise deployments. He combines hands‑on coding (Go, Python, C++) with team leadership—having stood up Kubernetes-based platforms, CI pipelines, and dev workflows while managing and mentoring engineering teams. At Amenity Analytics he drove a serverless financial NLP pipeline on AWS, and earlier contributions include high‑impact work on the open-source nuclio serverless project and his own full‑stack hardware mixer deej. Known for breaking complex problems into core concepts, he improves developer experience and operational reliability as much as product features. He’s pragmatic and opinionated but collaborative, enjoying discussions that surface better technical solutions. Outside work he iterates on side projects, plays video games and mixes cocktails—often using those hobby projects to prototype real integrations between hardware and software.
10 years of coding experience
6 years of employment as a software developer
Self taught
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
python10
go10
tensorflow10
golang10
computer-vision10
serverless10
functionfs10
arduino10
windows-gui9
docker8
rest-api8
audio8
dockers8
container8
api-rest8
Programming languages (6)
Github contributions (5)
omriharel/deej
Jan 2020 - Jul 2021
Set app volumes with real sliders! deej is an Arduino & Go project to let you build your own hardware mixer for Windows and Linux
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 releases, 4 reviews, 123 commits in 1 year 5 months
Contributions summary:Omri implemented a hardware mixer for Windows and Linux, focusing on both the Arduino and Go components. They added functionality to run the application in the system tray, including a stop callback and menu option for editing the configuration file. The user improved exception handling, added external configuration loading, and addressed an issue with multi-stream audio from the same process. This involved modifications to both the Python and VBS scripts, as well as integrating Go with the hardware mixer.
golangvolumeswindowssliderslinux
nuclio/nuclio
Oct 2017 - Jun 2018
High-Performance Serverless event and data processing platform
Role in this project:Back-end Developer
Back-end DeveloperContributions:16 commits, 16 PRs, 62 comments in 7 months
Contributions summary:Omri primarily focused on adding and fixing functionality for the "Playground" feature, specifically developing a face recognition demo script. This involved writing Python code that utilizes the Microsoft Face API. The user also made minor fixes to the script and configuration files, including adjusting timeouts for a Tensorflow example function. The user's work extends to creating a Tensorflow image recognition example and re-enabling the processor web interface.
containersfaas-platformfunctionsdata-processingserverless
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