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Abdelrahman M. - Fullstack Developer, React Native, nextjs

My journey at Softaims has been defined by curiosity, growth, and collaboration. I’ve always believed that good software is not just built—it’s carefully shaped through understanding, exploration, and iteration. Every project I’ve worked on has taught me something new about how to balance simplicity with depth, and efficiency with creativity. At its core, my work revolves around helping businesses and people achieve more through thoughtful technology. I’ve learned that the most successful projects come from teams that communicate openly and stay adaptable. At Softaims, I’ve had the opportunity to work alongside professionals who challenge assumptions, share knowledge generously, and inspire continuous improvement. I take pride in focusing on the fundamentals—clarity in logic, consistency in design, and empathy in execution. Software is more than a set of features; it’s a reflection of how we think about problems and how we choose to solve them. By maintaining this perspective, I aim to build solutions that are not only effective today but also flexible enough to support the challenges of tomorrow. The culture at Softaims promotes learning as an ongoing process. Every new project feels like a step forward, both personally and professionally. I see each challenge as a chance to refine my skills and contribute to the shared vision of building technology that genuinely improves lives.

Main technologies

  • Fullstack Developer

    5 years

  • Unity

    1 Year

  • Mobile App Development

    1 Year

  • Game Development

    1 Year

Additional skills

  • Unity
  • Mobile App Development
  • Game Development
  • Firebase
  • Flutter
  • Amazon Web Services
  • React
  • AMP Framework
  • Google Cloud Platform
  • Kubernetes
  • Cloud Architecture
  • Serverless Computing
  • SQL
  • NoSQL Database
  • Data Modeling
  • React Native
  • nextjs

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Experience Highlights

Deployment Pipeline

This project automates deployment to the servers in a rolling update manner, after automatically testing and analyzing the code.

Data pipeline (streams & batches) in GCP

The projects receives data in a streams and batch updates. It is meant for tracking user behaviour and for suspicious user detection on a Canadian governments SaaS platform.

Hubspot scalable webhook listeners & bulk updating records in Hubspot

This app would received hundred of thousands of webhook calls from Hubspot and scale effortlessly. And also can update Hubspot records overcoming the API call limitation. The Endpoints API is built on AppEngine so it scales automatically with the amount of calls Hubspot webhooks make to the server. The server runs its logic and data transformations needed and syncs the records to a scalable database (Firestore). Trigger cloud functions would then fire to push a message to Pub/Sub that is received by AppEngine Subscribers that keep the msg in the queue if the call fails due to API limit

Real Time Locating System (RTLS) With Kafka

Track government vehicles in real time using Kafka. Store all the raw data as is for analytical use and build trips from incoming data and show them to related users. Use GCP.

HA VPN between GCP and Azure

Create a HA VPN connection between GCP network and Azure network

Education

  • Cairo University

    Engineer's degree in Electrical engineering

    2015-01-01-2020-01-01

Languages

  • Arabic
  • German
  • English