• Building with Python across automation, data analysis, and data science. Recently exploring context engineering for LLMs and reliable workflows.
• I enjoy turning messy processes into clear, automated systems with measurable impact.
• Open to collaborating on developer tooling, data platforms, and ML workflow automation.

Links: GitHub

• Languages: Python, SQL, JavaScript/TypeScript (basics)
• Data & ML: Pandas, NumPy, scikit-learn, Jupyter, matplotlib/Altair, notebooks-to-pipelines
• Automation & Workflows: GitHub Actions, Bash, Make, cron, REST APIs
• Cloud & Infra: Docker, Linux, basic AWS
• LLM/Context Engineering: prompt+retrieval patterns, evaluation harnesses, dataset curation

• Automation-first mindset: scripts, reproducible notebooks, and CI for data tasks
• Data pipelines that are observable, testable, and versioned
• Practical ML focused on clear metrics and reliable deployment paths

Curated selection coming soon. In the meantime, here are the most recently updated public projects:

• AMElashal26: Python
• context-engineering: Views into practical applications of context-engineering
• Javascript-Slot-Machine: JavaScript
• Portfolio
• Safari_Tabs_Archiver: Exports and cleans tabs and tab groups in safari to hopefully let it run smoother · ⭐ 1
• what-should-i-do: TypeScript

Public events from my GitHub timeline:

• 2025-07-11: pushed 1 commit(s) to AMElashal26/Javascript-Slot-Machine
• 2025-07-11: pushed 1 commit(s) to AMElashal26/Javascript-Slot-Machine
• 2025-07-11: pushed 1 commit(s) to AMElashal26/Javascript-Slot-Machine
• 2025-07-11: pushed 1 commit(s) to AMElashal26/Javascript-Slot-Machine
• 2025-07-11: created branch main in AMElashal26/Javascript-Slot-Machine

Top languages across my recent repositories:

• Jupyter Notebook: 84.9%
• JavaScript: 6.0%
• Python: 3.7%
• TypeScript: 3.1%
• CSS: 1.4%
• HTML: 0.9%

• Python automation for data workflows
• Context engineering patterns for LLM apps (chunking, retrieval, evaluation)
• Clean, testable data analysis with notebooks, scripts, and CI

• Open to collaboration and interesting problems. Reach out via GitHub issues or discussions.

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Last updated: 2025-08-08