16+
years across AWS and Intel
Gal Goldman
Senior engineer building reliable systems at enterprise scale.
I am a Senior Software Engineer and Enterprise Solution Architect at AWS, formerly a Software Architect at Intel. I build production systems that are scalable, observable, and cost-efficient.
Current areas of focus:
- Distributed systems and architecture at enterprise scale
- ML and GenAI systems in production
- Agentic AI reliability, observability, and governance
- Performance and cost optimization from cloud services down to infrastructure details
30+
customers supported on production GenAI workloads
500+
engineers trained on GenAI systems
Explore
Distinct sections with different kinds of value.
Each area is intentionally separate: reading notes, interview material, research summaries, writing, projects, and a formal resume.
Reading
Books
Books I read, notes I keep, and ideas worth revisiting.
Open BooksCourse + Project
Interviews
My technical interviewing guide and interactive practice material.
Open InterviewsExplained Research
GenAI
Summarized research and implementation notes for production AI systems.
Open GenAIMore
Writing, public work, and background.
For visitors who want a fast route into your notes, your projects, or your experience.
Blog
Engineering notes on systems, architecture, and delivery in practice.
Go to BlogProjects
Public work, workshops, and interactive experiments.
Go to ProjectsResume
Experience, impact, and current role.
Go to ResumeRecent Writing
Latest notes.
Recent articles across systems, architecture, and production AI.
Data Platform Myths: What Breaks at Scale and How to De-risk It
A pragmatic framework for deciding when to build shared platforms versus domain-owned solutions, with common failure modes and safer alternatives.
Read articleProfit in the Stack: Why We Need Low-Level Optimization
Serverless First was for speed; Hardware Aware is for profit. Why modern architects must own the stack end-to-end to survive shrinking margins.
Read article