Almog Baku
Cofounder & CEO at PEF Community
Israel
Summary
🤩
Rockstar🎓
Top SchoolAlmog Baku is a founder and engineering leader with 13 years of experience building cloud-native and AI systems, currently CEO of Kelet, an AI agent that automatically investigates and fixes production LLM app failures. He combines deep hands-on backend and DevOps expertise—contributing to high-profile open-source projects like Traefik and Kubernetes Heapster—with product instincts honed by founding Raptor and shipping 30+ production AI agents at scale. Almog pioneered practices for scaling observability and data pipelines for AI workloads, and his work spans kernel-level networking to large distributed systems processing millions of events a day. He also founded and grew GenAI Israel, bridging community-building with technical leadership, and regularly advises CTOs on reliability and architecture. Notably, his GitHub track record includes Kubernetes integration improvements and security-focused full-stack fixes, reflecting a rare blend of LLM hacking curiosity and enterprise-grade engineering discipline.
13 years of coding experience
6 years of employment as a software developer
N/A
Hebrew, English
Stackoverflow
810reputation
75kreached
17answers
11questions
Github Skills (36)
kubernetes10
javascript10
reverse-proxy10
expressjs10
amazon-elasticsearch10
testing10
mongodb-database10
elasticsearchquery10
go10
aws-elasticsearch10
kubernetes-pods10
elasticsearch10
nodejs10
mongodb10
elasticsearch-api10
Programming languages (22)
Github contributions (5)
kubernetes-retired/heapster
Aug 2016 - Jun 2017
[EOL] Compute Resource Usage Analysis and Monitoring of Container Clusters
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:13 commits, 12 PRs, 185 comments in 10 months
Contributions summary:Almog primarily focused on enhancing the Elasticsearch integration within the Kubernetes Heapster project. Their contributions included adding AWS authentication support, improving error handling, and upgrading the Elasticsearch client library. They also implemented mapping changes for Elasticsearch and added support for ingest pipelines, along with associated configuration. Additionally, the user addressed logging and verbosity issues and fixed event handling problems.
containersclustersdockereolkubernetes
linnovate/mean
Dec 2014 - Jan 2015
The MEAN stack uses Mongo, Express, Angular(6) and Node for simple and scalable fullstack js applications
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:19 commits, 3 PRs, 5 comments in 1 month
Contributions summary:Almog primarily contributed to the MEAN stack application by addressing both backend and frontend aspects. They fixed a bug related to URL parameters and added support for injection of Grunt tasks. Furthermore, they implemented security measures by hiding sensitive data from the API and preventing XSS vulnerabilities. These contributions suggest a strong understanding of both server-side logic and client-side interactions.
expressmongo-expressmongoosemongodbjavascript
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.