Moti Shaul

Software Engineer | Python, Cloud & AI | AWS Community Builder

AI-first Software Engineer with 5+ years of experience, specializing in Python and Cloud services (OCI + AWS Certified).

Recently selected as an AWS Community Builder in the AI Engineering category. I am a hands-on builder passionate about solving real-world challenges through GenAI, RAG, and automation. Driven by rapid self-learning, I deliver impactful tools and have fun while doing it.

Recent Blog Posts

Feb 26

The Planning-First Approach of AWS Kiro

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Work Experience

Software Engineer

BMC Software | 2021 – Present

Researched cloud AI tooling, experimenting with n8n, Ollama, LangChain, and Google VertexAI for workflow automation and LLM orchestration.
Engineered robust automation scripts in Python, leveraging advanced OOP principles to enhance maintainability and scalability.
Designed and implemented data pipelines to extract information from multiple sources, used Pandas to transform and structure relevant data, and loaded it into VictoriaMetrics DB for visualization in Grafana dashboards.
Integrated and automated cloud solutions using Python (Boto3) to interact with AWS services, driving cloud-based infrastructure.
Writing Bash scripts in a Linux environment and PowerShell in Windows environments.
Writing Ansible playbooks for configuration management.
Working with various technologies including Jenkins, PostgreSQL, Terraform, MongoDB.

Full-stack Developer

Amsalem Tours & Travel | 2020 – 2021

Designed and developed end-to-end web-based systems in an OOP environment.
Backend stack: .NET Framework, C#, VB.NET, ASP.NET
Front stack: HTML, CSS, JavaScript, jQuery, Knockout.JS, React
Working with SQL Server, MongoDB, Docker, TFS, GIT, Jira, Bitbucket

My Projects

Pirkei-Avot Smart Search

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Designed and implemented a full RAG semantic search ecosystem using AWS. The architecture combines a Python/Flask and Supabase backend with a serverless pipeline (API Gateway, Lambda, Bedrock), utilizing S3-based vector storage to enable precise and scalable embedding-based search capabilities.

My Podcast

AWS Solution Architect - בעברית

AI-Powered AWS Study Podcast Bridged the language gap for AWS learners by using NotebookLM to generate study conversations in Hebrew, simplifying technical concepts for the local community.

Impact: 5,300+ plays and 480+ hours of content consumed.
Content: 34 episodes simplifying complex cloud architecture concepts.
Community: Built a following of 150+ learners.