I am a SQL Server Architect, MES/MRP Specialist, and Applied AI Practitioner with over two decades of experience designing, optimizing, and documenting complex software architectures and data systems.

Currently, through my independent consulting initiative Basirah-AI, I help manufacturing and technology-driven businesses build high-performing database systems, author audit-ready compliance documentation, and implement practical, responsible AI applications.

• SQL Server Architecture & Reporting: Database Administration (DBA), custom SSIS/ETL data integration, performance tuning, and operational reporting (SSRS/Power BI) tailored for MES, MRP, and ERP environments (including Epicor).
• Technical & Regulatory Compliance: Authoring clear, audit-ready software architecture documentation, SOPs, user manuals, and compliance frameworks aligned with ISO and FDA standards.
• Applied AI & Process Automation: Developing focused AI-driven tools, intelligent document workflows, and automated pipelines to help businesses streamline operations responsibly.
• Technical & Project Leadership: Over 20 years of experience managing project lifecycles, leading cross-functional engineering teams, and managing client-technical communications.

• RDBMS: SQL Server (Architecture, DBA, SSRS, SSIS, Replication, Optimization), T-SQL, MySQL, PostgreSQL
• ERP & Manufacturing Systems: MES, MRP, Epicor ERP Integration
• Data Analytics & BI: Power BI, Tableau, Data Modeling, Custom ETL Pipelines

• Languages: Python, C# (.NET Core / ASP.NET MVC)
• Frameworks & APIs: FastAPI, React, Microservices Architecture
• Cloud & DevOps: Azure, AWS, GCP, Virtual Server Management, Git, CI/CD Workflows

Building upon my foundational software and database architecture experience, I actively apply modern AI concepts to solve real-world industrial and operational problems:

• Agentic AI & Multi-Step Automation: Experimenting with autonomous agent frameworks for reasoning and workflow orchestration.
• Intelligent Document Processing: Leveraging LLMs for automated generation of technical specs, regulatory documentation, and operational summaries.
• Applied ML Solutions: Exploring predictive models for defect detection, yield analytics, and operational intelligence in manufacturing contexts.
• Prompt Engineering & Rapid Prototyping: Utilizing structured prompting techniques, low-code/no-code tools (e.g., Make.com), and AI-assisted development platforms for agile delivery.

• Introduction to Cloud Computing
• Machine Learning Level 2 (In Python)
• Data Science A-Z
• Tableau 2024 A-Z
• AI Engineering Essentials

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.