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Saher A. AI, Cloud and Mobile Platforms

My name is Saher A. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Keras, TensorFlow, TensorFlow Lite, etc.. I hold a degree in , . Some of the notable projects I’ve worked on include: KMP public library for voice recorder, Android & iOS applications in Kotlin Multiplatform, Correcting Spring Documentation Code Example, Optimizing Deep Learning Code. I am based in Bethlehem, Palestinian Territories. I've successfully completed 4 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • AI, Cloud and Mobile Platforms

    10 years

  • Machine Learning

    2 Years

  • Deep Learning

    6 Years

  • Keras

    1 Year

Additional skills

  • Machine Learning
  • Deep Learning
  • Keras
  • TensorFlow
  • TensorFlow Lite
  • Spring Boot
  • Spring Cloud
  • Spring Framework
  • Kotlin
  • Android
  • Android App
  • Cloud

Direct hire

Potentially possible

Previous Company

Gaza Sky Geeks

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Experience Highlights

KMP public library for voice recorder

KMP-Record is a lightweight Kotlin Multiplatform library designed to facilitate audio recording functionality across iOS and Android platforms. By abstracting platform-specific details, KMP-Record enables developers to manage audio recording in a unified manner, enhancing code reuse and maintaining consistency across platforms.

Android & iOS applications in Kotlin Multiplatform

The project was a POS application, in KMP, it was developed with old framework that used an interactor not a viewmodel, that created an issue to expand the application. I solved the old framework issues, by expanding it to viewmodel, prepared the UI, implemented the logic in common code, implemented the API and database for both platforms.

Optimizing Deep Learning Code

There was a ready training code for an image recognition model, and it needed to be optimised to reach the needed accuracy percent (%85+). - I changed the optimiser - changed drop rate - changed neurons units - Filtered the data - created the needed colabs for the optimised code. - trained the model with the right number of epochs.

Education

  • Coursera

    in Machine Learning

  • Jetbrains Academy

    in Programming

    2021-01-01-2021-01-01

Languages

  • Arabic
  • English

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