I will build a mobile app with machine learning and ai features

A
ai_mahmoud
A
ai_mahmoud
Mahmoud E
build a mobile app with machine learning and ai features
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build a mobile app with machine learning and ai features
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build a mobile app with machine learning and ai featuresbuild a mobile app with machine learning and ai featuresbuild a mobile app with machine learning and ai features

About this gig

I build mobile apps that use machine learning, not apps with an ML buzzword bolted on.


I'm a Data Science student who has shipped production mobile tools for a telecom client (Flutter + Kotlin - one dials thousands of numbers via a custom background service, the other classifies call outcomes from on-device signals alone) and built ML systems end to end: an IoT digital twin that predicts sensor readings, a financial platform that flags anomalous transactions with Isolation Forest, and a jet-image classifier for Google Summer of Code.


What I offer:

  • Flutter/Kotlin mobile apps, from a single screen to a full build
  • ML features wired into the app or a FastAPI backend - classification, prediction, on-device inference
  • Clean, layered architecture, not a prototype that breaks under real use
  • Straight communication, no jargon

If your app just needs to work well without any AI, I build that too - solid Flutter/Kotlin apps are the other half of what I do.


Send me your idea and I'll tell you honestly what's realistic for your timeline and budget.

  • App type

    • Hybrid

  • Purpose

    • Finance
    • Maps & navigation
    • Education
    • IoT

  • Expertise

    • Performance
    • Security
    • Data storage
    • API integration

  • Programming language

    • Kotlin
    • Python
    • Dart

  • Frameworks

    • Flutter
    • Android

  • Tools

    • Android Studio

Get to know Mahmoud E

Mahmoud E

Machine Learning Engineer, Mobile Apps and AI

  • FromEgypt
  • Member sinceApr 2026
  • Avg. response time1 hour

  • Languages

    English, Arabic, Spanish
Machine learning engineer who builds mobile apps with real AI inside them, not bolted on after - also open to general mobile app builds. Shipped two client apps for a telecom company: a bulk-USSD campaign tool and a call-outcome classifier, both in production. ML work: an agentic finance assistant (FastAPI + Claude), a digital twin predicting sensor readings and flagging anomalies, and a jet-image classifier for a physics research program (GSoC 2026). Stack: Flutter/Kotlin, PyTorch/scikit-learn, FastAPI. I test what I ship and flag scope issues before starting, not after.

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