I am a data-focused professional transitioning into Data Science, Machine Learning, and AI Engineering, supported by a strong background in software development, system management, and project leadership. My goal is to apply data-driven intelligence to solve operational, industrial, and business problems through practical, scalable solutions.

I bring over two decades of experience across software architecture, project management, and technology operations. This background enables me to understand both technical and business perspectives, helping me design solutions that are aligned with organizational needs.

In recent years, I have shifted my focus toward:

• Data Science & Machine Learning
• Cloud Computing (Azure, AWS, GCP)
• AI-driven analytics for industrial systems
• Modern application development & DevOps
• Cybersecurity fundamentals

My current work involves developing data solutions, experimenting with AI models, and contributing to digital transformation initiatives.

• Python
• SQL, T-SQL
• C# (.NET Core)

• .NET Core, ASP.NET MVC
• React, FastAPI (learning)
• Microservices architecture
• Git, DevOps workflows

• SQL Server (administration, replication, reporting)
• Data modeling & ETL workflows
• Power BI dashboards and analytics

• Azure, AWS, and GCP (learning and hands-on exploration)
• Virtual server and database management
• Deployment, monitoring, and integration of backend systems

Over the past few months, I have been actively building foundational skills in Generative AI and exploring its practical applications. My current experience includes:

• Prompt Engineering – writing structured prompts for reasoning, automation, and content generation
• Agentic AI Workflows – experimenting with agent-based systems to perform multi-step or autonomous tasks
• No-Code/Low-Code Automation – integrating AI into operational workflows using tools like Make.com
• AI-Assisted Code Generation – using platforms such as Bolt and Q Developer for rapid prototyping
• Content Generation & Knowledge Work – drafting documentation, summaries, and structured content with LLMs

I am still early in this journey and continue to expand my understanding through hands-on experimentation and real-world usage.

• Modernizing MES applications using modern architectures and cloud-native capabilities

• Building internal tools under the Basirah initiative (ERP, MES, Q2C, RGS systems)

• Exploring ML models for defect prediction, yield analytics, and operational intelligence

• Strengthening cloud deployment skills across AWS, Azure, and GCP

• Experimenting with ChatGPT and agent-based automation for productivity and decision support

Outside of work, I regularly listen to Qur’an lectures and reflect on their lessons to strengthen my personal development and contribute positively to my family and community.