ML Engineer.

Building intelligent systems from research to production.

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Experience Timeline

SwissTraffic AG

ML Engineer & Data Scientist

Feb 2024 - Present

Ittigen, Switzerland

  • Trained and deployed real-time object detection models (PyTorch, YOLO)
  • Built full-stack analytics platform (backend & frontend) from scratch
  • Developed end-to-end anomaly detection system with ML methods
  • Led all AI/ML initiatives across the company
  • Engineered Python library for sensor data processing
  • Designed RESTful APIs with FastAPI and Power BI dashboards

Amadeus

ML Engineer / Data Scientist (Intern)

Mar 2023 - Aug 2023

Biot, France

  • Trained and benchmarked ML models for carbon emissions estimation
  • Built production-ready Flask API for model serving
  • Designed interactive Streamlit interface for predictions
  • Rigorous model validation with cross-validation and error analysis

Amadeus

ML Research Engineer (End-of-Studies Project)

Sep 2022 - Feb 2023

Nice, France

  • Built end-to-end ML pipelines for time series forecasting
  • Compared LSTM, Random Forest, SARIMA models
  • Deployed models with Docker & Kubernetes
  • Systematic hyperparameter tuning and ablation studies

Upwork

ML Engineer & Developer (Freelance)

Mar 2021 - Aug 2022

Nice, France

  • Built and deployed ML models for client projects end-to-end
  • Developed data pipelines for large-scale data processing
  • Delivered analytical reports and visualizations

Education

MSc in Applied Mathematics
Université Côte d'Azur
2022 - 2023
Nice, France
Stochastic Modeling and Statistics
Key Skills
  • Machine Learning
  • Data Science
  • Statistical Analysis
  • Deep Learning
  • Python Programming
BSc in Applied Mathematics
Université Côte d'Azur
2020 - 2021
Nice, France
Mathematical Analysis & Statistics
Key Skills
  • Statistical Methods
  • Data Analysis
  • Mathematical Modeling
  • Problem Solving
  • Optimization
Preparatory Classes
Les Eucalyptus
2018 - 2020
Nice, France
PT* & PTES
Key Skills
  • Advanced Mathematics
  • Physics
  • Engineering Sciences
  • Technical Writing
  • Problem Solving

Featured Projects

Brain Tumor Segmentation

Enhanced YOLOv8 with EfficientNet-L2 backbone and custom CNN with self-attention mechanisms for MRI tumor detection. Achieved 92% accuracy and Mean IoU of 0.78. Trained on Google Cloud GPUs.

PyTorch
Computer Vision
Self-Attention
Google Cloud GPU

Bacterial Colony Modeling

Computational model using SVM, RandomForest, and Neural Networks for bacterial colony evolution prediction. Implemented with Apache Spark for scalability.

Python
Machine Learning
Big Data

Lip-Reading Classification

First place in Kaggle challenge using ensemble of Random Forests, SVMs, and Neural Networks. Applied PCA, t-SNE, and LDA for dimensionality reduction.

TensorFlow
Scikit-learn
Hadoop

Fraud Risk Prediction

Developed insurance fraud detection system using Decision Trees, Random Forests, and SVMs. Implemented real-time prediction with custom evaluation metrics.

Data Analysis
Machine Learning
Cluster Analysis

Airline Sentiment Analysis

Built sentiment analysis model for airline tweets using NLTK and TensorFlow. Created interactive Streamlit dashboard for real-time sentiment prediction.

NLP
Streamlit
Python

Racing Car Optimization

Applied interpolation methods to optimize racing car aerodynamics using Python. Focused on numerical approximation for ideal shape calculation.

Python
Numerical Methods
Optimization

Skills

Machine Learning & Deep Learning

PyTorch • TensorFlow • Keras • Scikit-learn • XGBoost • YOLO • CNNs • Attention Mechanisms • Hugging Face Transformers • LSTM • Model Fine-Tuning • RLHF • Hyperparameter Tuning

Computer Vision & NLP

Object Detection (YOLO, EfficientNet) • Image Segmentation • Real-Time Inference • Self-Attention Mechanisms • Data Augmentation (MixUp, CutMix)

ML Infrastructure & Engineering

Docker • Kubernetes • Google Cloud (GPU Training) • Azure • Distributed Systems • ML Pipelines • Model Deployment • MLflow • Weights & Biases

Data Engineering & Analytics

Python • SQL • Data Pipelines (ETL) • API Development • Power BI • Tableau • Matplotlib • Seaborn • PySpark • Large-Scale Data Processing

Software Engineering

Python • Flask • FastAPI • REST APIs • Git • Bash • CI/CD • Agile (Scrum) • Experiment-Driven Development

Languages

Arabic (Native) • French (Native) • English (Professional) • Italian (Professional)

Technology Stack

Python
PyTorch
TensorFlow
Hugging Face Transformers
Scikit-learn
XGBoost
YOLO
Docker
Kubernetes
Google Cloud (GPU Training)
Azure
SQL
Flask
FastAPI
Streamlit
Power BI
MLflow
Weights & Biases
PySpark
Git
Bash

Key Metrics

95%+
Model Accuracy (Top Projects)
20%
Operational Efficiency Improvement
3+
Years of Professional Experience
10 TB+
Data Processed

Certifications

GitHub
GitHub Copilot Certification
Apr 2026
OpenClassrooms
Inferential Statistics
2020
OpenClassrooms
Probability Fundamentals
2020

Get in Touch

✉️

Email

Let's connect via email

nabilzaita@outlook.com
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LinkedIn

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