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Software Engineering
Full-stack development, APIs, application support, integration, and modernization of business-critical systems.
Software Engineering · Data · Practical AIEngineering software.
Engineering software.
Connecting data.
Solving real problems.
I'm Mansoor Najarian, a software developer and IT professional. I design, build, integrate, and modernize business software, bringing data engineering, analytical thinking, and practical AI into solutions that serve real needs.
✦ Practical AI
↗ Data Insights
⌘ Enterprise Software
Core capabilities
Technology with a business purpose.
Software development is the foundation. Data integration, analytics and AI extend what well-designed applications can accomplish.
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Data Pipelines
Data movement, ETL workflows, database design, transformation, and dependable integrations between systems.
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Data Analysis & BI
SQL, reporting, data exploration, Power BI, and turning complex information into useful business insights.
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AI for Real Business
Applying AI to grounded software workflows, document inputs, assisted development, and process improvement.
About me
Experience, curiosity, and a problem-solving mindset.
I bring more than a decade of experience across IT and software development, with hands-on work in application design, database-backed systems, integration, and data-driven solutions.
My background bridges full-stack engineering and data technologies. I focus on understanding the real problem first, then choosing tools and architecture that make a solution effective, maintainable, and useful.
I also hold a Big Data Analytics credential from Georgian College and continue building expertise in modern data and AI techniques.
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Engineering-first approachClear architecture, practical implementation, reliability, and maintainability.
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Data-aware solutionsConnecting operational systems and creating useful data flows and reporting.
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Thoughtful adoption of AIAI as a capability inside controlled business workflows, not a replacement for engineering judgment.
Selected solution areas
From business challenges to working software.
These are representative areas of work, described without exposing confidential employer or client implementation details.
01 / AI + ENGINEERING
AI-assisted workflowsAI for complex quoting and structured inputs
Exploring ways to collect information from documents or guided questions, validate it, and connect the results to existing business pricing and configuration systems.
02 / DATA + SYSTEMS
Data engineeringData extraction, transformation and integration
Designing reliable movements of operational data, structured exports, validation rules, and repeatable processes between business applications.
03 / ENTERPRISE SOFTWARE
ModernizationMaintaining and improving business-critical software
Resolving issues in existing systems, extending applications safely, improving reliability, and delivering changes with testing and traceability.
Practical AI works best when it is grounded in real business requirements, supported by sound engineering, and designed with clear validation and accountability.
Continuous learning
Achievements & Certifications.
A collection of cloud, data, SQL and analytics credentials. Hover over an entry to preview it, expand it for details, or open the original-size image.
01AWS AcademyAWS Academy Cloud Foundations
02AWS AcademyAWS Academy Cloud Architecting
03AWS AcademyAWS Academy Data Engineering
04DataCampAnalyzing Business Data in SQL
05DataCampData Science for Business
06DataCampMarketing Analytics for Business
07Microsoft LearnExplore Azure Storage for Non-relational Data
08Microsoft LearnExplore Fundamental Relational Data Concepts
Showing all 8 certificates
Certificate previewHover to explore
Ideas & perspective
Software design in an AI-enabled world.
Reflections on solving problems, applying AI responsibly, and keeping engineering fundamentals at the center.
Featured post on X
Read on X ↗Software experience, problem solving, and using AI with purpose
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Let's connect
Have a technical challenge or an idea?
Whether you are looking to improve an existing application, connect systems, work with data, or explore practical AI, I welcome thoughtful conversations.
Contact details stay private.
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