Freelancer profile translated to English.

Description

I am a recent graduate in computer development engineering, passionate about creating robust solutions tailored to user needs. With my skills in Python, TypeScript, and Flutter, as well as my experience in data science, particularly in Natural Language Processing (NLP), I have contributed to various projects involving front-end and back-end development. Curious to innovate and explore new technologies.

Languages

English
Native or bilingual
French
Fluent

Workplace preferences

Remote only

Primarily works remotely

VitaApps
Flutter / AI Developer
SPORTS
February 2025 - July 2025 (5 months)
Bucharest, Romania
Development of an AI-based mobile application for real-time body movement detection via the smartphone camera.
Integration of a Google ML Kit model for human pose detection.
Implementation of secure authentication via Firebase Auth.
Setup of an automatic calculation algorithm for physical exercise repetitions (squats, push-ups, abs) in real-time.
Comparative study of state-of-the-art models for human pose detection (MediaPipe pose, OpenPose, Google ML kit Pose).
Design and implementation of a reactive and responsive user interface with Flutter and custom widgets.
Implementation of CRUD operations for sports exercises (add, view, modify, delete) via Cloud Firestore.
Use of Bloc/Cubit architecture for state management and modular code organization.
Flutter Firebase API GitHub Dart
SeekMake
Full Stack Developer - Internship
June 2024 - September 2024 (3 months)
Tunis, Tunisia
Development of a cross-platform desktop application (Mac, Linux, Windows) interconnected with the SeekMake web platform specializing in 3D manufacturing.
Management of user access to different application pages.
Implementation of a CI/CD pipeline reducing deployment time by 40%.
Deployment of the application on Microsoft Azure.
Addition of a new feature to the SeekMake website, allowing users to download their desktop applications for different operating systems.
Design and implementation of a dashboard and graphs in the Admin portal, enabling visualization of productivity statistics (number of manufacturers by country, number of orders per manufacturer, etc.).
ElectronJS Angular Express MongoDB Microsoft Azure
Smart Conseil
Data Scientist - Internship
June 2023 - September 2023 (3 months)
Tunis, Tunisia
Collection of over 100,000 data samples for various use cases (email classification, burnout detection, sentiment classification, and abusive language detection in images).
Use of CNNs for analyzing images containing abusive language, using trained models to detect visual elements indicating inappropriate content.
Data cleaning, visualization, and analysis.
Use of LSTM and Transformer (BERT) for text classification, particularly for analyzing emails, sentiments, and detecting burnout, enabling the capture of semantic context and long-term dependencies in text sequences.
Implementation of a French-English translator and a language detection algorithm (Transformers, RoBERTa).
Experimental comparison of models based on use cases (Naive Bayes, CNN, LSTM, Transformer).
Deployment of trained models as APIs using FastAPI.
Python Docker Deep Learning Machine Learning Microsoft Visual Studio

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Engineering Degree in Industrial Computing and Automation
INSAT - National Institute of Applied Science and Technology
2025
Cycle ingénieur en Informatique Industriel et Automatique
Preparatory Cycle Math - Physics - Computer Science
INSAT - National Institute of Applied Science and Technology
2022
Cycle préparatoire Math - Physique - Informatique

Ali Samet

Software Development

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