Khouya
Oussama

Software developer, with hands-on experience delivering intuitive, performant cross-platform apps. I’m currently pursuing a master’s in AI and Machine Learning, where I’m deepening my knowledge in model development, data pipelines, and MLOps.

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Recent Projects

FaceAccess

Facial recognition application for access management

Github repo

Rentaly

Web and mobile apps, enabling managers to effortlessly oversee their car rental agencies.

Github repoLive

SalePoint

React Native + Spring Boot POS that supports offline sales + cloud sync

Github repoLive

TalentIQ

AI-Powered Resume Parsing & Candidate Discovery for Smarter Hiring

Github repoLive

InventoryPro

Mobile barcode app for inventory management

Github repoLive

Consultancy

A website with an easy to use dashboard that represents a consulting company to clients, helping the company attract new clients by highlighting its services.

Github repoLive

Blog

SOON

On-Device AI with React Native

How to run machine learning models directly on mobile devices using TensorFlow Lite and ONNX

SOON

Face Recognition on Mobile: Balancing Accuracy and Performance

Techniques for implementing face recognition on mobile devices while maintaining speed, accuracy, and user privacy

SOON

Building a Facial Recognition Access App

A case study of developing FaceAccess from concept to MVP using React Native and Python

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Offline-First React Native Apps

Strategies to make mobile applications work seamlessly without an internet connection

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React Native State Management: From useState to Redux Toolkit

An exploration of different state management approaches in React Native, from simple hooks to advanced Redux Toolkit patterns

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My First Attempt at Edge AI for Mobile Devices — What Worked and What Didn’t

A personal reflection on experimenting with edge AI on smartphones, including successes, failures, and key takeaways

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Optimizing React Native Performance

Practical techniques to make React Native apps run smoother and load faster

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The Ethical Side of Mobile AI

A reflection on privacy, bias, and fairness in mobile machine learning applications

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5 Common Mistakes When Deploying ML Models to Mobile Devices

Practical lessons on avoiding performance, compatibility, and accuracy issues when deploying AI models to mobile platforms

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POS System on Mobile: Design Choices and Technical Challenges

Insights into building a mobile point-of-sale system, covering architecture, UX, and performance considerations

SOON

Edge AI: The Future of Mobile Intelligence

Exploring the benefits and challenges of deploying AI models on smartphones