Almog Solan
Machine Learning Engineer at Imperva
Israel
Summary
👤
Senior🎓
Top SchoolAlmog Solan is a Machine Learning Engineer with eight years of experience building scalable ML infrastructure, data pipelines, and Python-based tooling across security and analytics domains. He has driven end-to-end ML and dev-platform architecture at Perception Point and now focuses on ML systems at Imperva, combining pragmatic, cost-aware design with operational simplicity. Earlier roles at SQream and Matrix honed his expertise in ETL, infra services and a polymorphic SQL dialect validator, reflecting a strong systems-and-data orientation beyond typical model work. Based in Israel and trained in software engineering at Shenkar, he blends hands-on Python development with architectural thinking and a knack for turning complex data workflows into maintainable, production-ready systems.
8 years of coding experience
9 years of employment as a software developer
High School Computer Science, High School Computer Science at KalayEngineer’s Degree Computer Software Engineering, Engineer’s Degree Computer Software Engineering at Shenkar - Engineering. Design. Art.
Hebrew, English
Github Skills (3)
imperva9
openapi6
python6
Programming languages (1)
Github contributions (3)
imperva/imperva.github.io
May 2018 - Feb 2019
Contributions:45 commits, 23 pushes in 8 months
imperva/imperva-sdk-python
May 2018 - Feb 2019
A Python SDK for Imperva SecureSphere Open API
Contributions:58 commits, 9 PRs, 25 pushes in 8 months
impervaopenapipython
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