Peter Kogan is a founding engineer and seasoned software leader with over 20 years of experience building scalable, secure systems across startups and large enterprises. He specializes in automating security fixes and reducing SAST noise—at Mobb his hybrid rule-engine and LLM-enhanced pipeline flags ~90% of traditional SAST false positives and automatically generates fixes across major languages. Peter has deep hands-on expertise in distributed architectures, async Python performance tuning (80% processing reduction), RabbitMQ orchestration, GraphQL-driven full-stack ownership, and CI/CD for ML and backend systems. Previously he scaled teams and critical services at Imubit and Intuit, driving faster model training, CI improvements, and production-ready, resilient platforms for millions of users. Known for turning manual workflows into automated, distributed processes, he combines pragmatic engineering with a knack for rapid language support and operational scalability.
12 years of coding experience
11 years of employment as a software developer
Information System Analyst, Computer Science, Information System Analyst, Computer Science at IDF
ORT Colleges
Bachelor of Science (BSc), Computer Science, 92 GPA, Bachelor of Science (BSc), Computer Science, 92 GPA at The Open University of Israel
A pytest fixture wrapper for https://pypi.org/project/mock-generator
Contributions:6 releases, 28 commits, 98 PRs in 9 months
pythonpypifixturemock-generatortesting
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