Hi, I'm Bouchra
AI and Full Stack Developer
I hold an MSc in AI from Imperial College London with distinction, and a First Class BSc (Hons) in Computer Science with AI.
I am passionate about computer vision, generative AI, and UI & UX design. I specialise in applying theoretical AI knowledge to real-world scenarios, and building Full-Stack, user-friendly applications to deploy AI models.
When I'm not coding, I enjoy reading, creating content, and photography.
Skills
Artificial Intelligence
I have built AI solutions across ML, computer vision, and generative AI, and deployed models on robots using ROS, web apps with Python, and mobile apps with Swift. Either Fine-tuning models or building them completely from scratch.
Python
With 6+ years of experience, I use Python for AI development, automation, data analysis, and web development, I write modular and well-documented code to ensure that is it reliable and scalable.
Full Stack Dev
I have built scalable, data-driven full-stack applications, developing and deploying advanced Flask and Django systems that integrate AI and efficient data pipelines.
iOS App Development
I develop Swift-based iOS apps that integrate AI-powered backends, deploying AI models through intuitive, user-friendly interfaces.
Java
I have experience developing and testing software using Java, from back-end systems to interactive front-end applications built with JavaFX and JAX-WS.
Embedded & IoT Systems
I have developed smart systems integrating sensors, microcontrollers and AI, bridging hardware with intelligent software.
Projects
RAG Agent
First step of my research on semantic analysis of embedding spaces with data mining. It's an analyser that answers questions about the user's documents.
Smart Ventilation
IoT system for air quality monitoring and management with real-time dashboard and predictions for optimal indoor air quality.
EatSafe
When food labels are missing, EatSafe helps people with dietary requirements know what ingredients (in any language) are made of.
Quiza
Quiz web app built with Next.js and Supabase backend that allows testing knowledge across different topics with dynamic interactions.
Skan
iOS app for skin lesion diagnosis. I researched the best approach, trained the CNN model from scratch, built the iOS app, and deployed it.
Art Generator
A conditional GAN model that generates art paintings conditioned on the type of paininting. I coded and trained the full model from scratch.
Stroke Risk Predictor
Web app that deploys a machine learning model I built for stroke risk prediction using patient data to enable early intervention.
Maze Game
JavaFX maze game designed and built from scratch. I implemented all game mechanics, movements, and intelligence features.
Huffman Coding
A C# implementation of the Huffman encoding algorithm for data compression.
Traffic Light System
Interrupt-driven traffic light simulation on Arduino, implemented in C/C++ and AVR assembly, using hardware timer and external interrupts.
Get in Touch
Want to collaborate? I'm always keen to build impactful things.