WesamEldin Abdelghaffar

WesamEldin Abdelghaffar

Gizeh, Egypt

WesamEldin Abdelghaffar

Solution Architecture & Full Stack Developer
Category : Web development
I help clients transform ideas, workflows, and business requirements into scalable application architectures and production-ready digital products. My focus is solution architecture and full-stack delivery for native mobile apps, web dashboards, backend APIs, database systems, and cloud-based platforms.
I can support a project from early discovery through technical design, MVP planning, frontend and backend development, database architecture, API integration, deployment, documentation, and post-launch enhancement. My background in ERP, CRM, SaaS, telecom systems, and full-stack delivery helps me connect business goals with practical technical execution.
For native app projects, I focus on clean architecture, secure authentication, reliable backend services, efficient data flows, responsive user experience, maintainable code, and a delivery plan that supports long-term growth.

Working hours

  • Monday:10h00 To 23h00
  • Tuesday:10h00 To 23h00
  • Wednesday:10h00 To 23h00
  • Thursday:10h00 To 23h00
  • Friday:10h00 To 23h00
  • Saturday:11h00 To 23h30
  • Sunday:11h00 To 23h30
Lead end-to-end delivery of strategic SaaS and business-application initiatives, including Momentum ERP & CRM and InsightFlow. Own solution design, UI/UX planning, full-stack development, MariaDB implementation, cloud deployment, stakeholder communication, governance, and post-launch improvement.
• Led technical project delivery across engineering, management, procurement, sales, QA, and supply teams.
• Gathered requirements, produced BRDs/FRDs and mockups, defined scope, timelines, resources, and budgets.
• Managed stakeholder updates, risks, roadblocks, delivery status, and design/manufacturing coordination.
• Improved delivery predictability and increased sales by 50%.
  • IBM Data Science 19/01/2021
    In this Professional Certificate learners developed and honed handson skills in Data Science and Machine Learning. Learners started with
    an orientation of Data Science and its Methodology, became familiar
    and used a variety of data science tools, learned Python and SQL,
    performed Data Visualization and Analysis, and created Machine
    Learning models. In the process they completed several labs and
    assignments on the cloud including a Capstone Project at the end to
    apply and demonstrate their knowledge and skills.
  • 🇬🇧 English
  • 🇲🇦 Arabic
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