Your Year, Wrapped
AI/ML Engineer
Scroll to begin
Chapter 01 — The numbers
Chapter 02 — Top tracks
Chapter 03 — Most-played project
Built a GenAI platform translating English/Arabic questions into optimized SQL queries for non-technical users. • Implemented Dual-Layer RBAC: DROP, DELETE, TRUNCATE blocked at both UI and LLM prompt levels. • Modular architecture supports one-line migration from SQLite3 to PostgreSQL or Amazon RDS.
Chapter 04 — The tour
DEPI x Eyouth
My role is a ML Engineer Intern who built machine learning projects in production using ML Lifecycle, MLOps Techniques and Best Practices
Tips Hindawi
My role is to build LLM applications using HuggingFace, Langchain via Methods like Prompt Engineering, RAG and Fine Tuning
SAiR
Using MLOPS, Engineering and Best Practices we want to build an end to end ML Systems that it can be monitored and optimized in production
Chapter 05 — The full discography
Chapter 06 — The receipts
Computer Science and Engineering — Electronics Engineering
Deep learning.ai
Nvidia
Chapter 07 — Off the record
I am an AI/ML Engineer with hands-on experience via practice and building projects using ML Lifecycle and Following Best Practices.
Building LLM Applications using Frameworks like LangChain, building Agentic AI and Workflows via n8n, CrewAi and LangGraph
That's a wrap.
Ahmed Akram Amer. Reach out, or share this story.
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