
Mouelhi Amal
@mouelhiamal
I build machine learning systems, real-time data pipelines, and full-stack applications.
What I'm looking for
I've built AI and full-stack applications including an email analysis platform using FastAPI and React, with DNS validation, SMTP checks, NLP classification, and real-time data analysis.
For Nexus FX, I developed a real-time and historical financial data ingestion pipeline with MetaTrader5 and PostgreSQL. I also designed a machine learning framework using regime detection and gradient boosting for predictive decision support.
I've also developed a Flutter mobile app backed by Firebase for Running Club Tunis, supporting authentication, role-based access, and accessible adaptive interfaces. I'm especially interested in automotive systems, intelligent mobility, and data-driven vehicle technologies.
Experience
Work history, roles, and key accomplishments
Mobile App Developer
Hackathon Project (Running Club Tunis)
Jan 2026 - Present (8 months)
Developed a Flutter mobile application with Firebase backend supporting authentication and role-based access. Implemented adaptive user interfaces with accessibility features including color-blind modes and dynamic scaling.
Data Engineering & ML Developer
Nexus FX Project
Jan 2025 - Present (1 year 8 months)
Developed a data ingestion pipeline using MetaTrader5 and PostgreSQL for real-time and historical financial data. Designed a machine learning framework combining regime detection and gradient boosting for predictive decision support.
AI & Full-Stack Developer
Personal & Academic Projects
Jan 2024 - Present (2 years 8 months)
Designed and developed an AI-based email analysis system using FastAPI and React, integrating DNS validation, SMTP checks, and NLP-based classification. Built a complete data pipeline for CSV and Excel ingestion, preprocessing, and real-time analysis.
Education
Degrees, certifications, and relevant coursework
ESPRIT School of Engineering
Engineering Degree, Data Science
2022 -
Activities and societies: Ranked Top 3 in Bal des Projets at ESPRIT (2023), Achieved Top 10 placement in Hackathon.
Pursuing an Engineering Degree in Data Science, expected to graduate in 2027.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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