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Bridging data and intelligence, from scalable cloud pipelines to computer vision systems that see and understand the world.
I'm a Data Scientist and ML Engineer with a deep passion for Computer Vision and intelligent data systems. My work spans the full data lifecycle, from architecting cloud data warehouses on GCP BigQuery to building deep learning models that tackle real-world vision challenges.
At Otamiser, I contributed to building the company's first scalable data warehouse, orchestrated pipelines with Dagster, and applied NLP and AI models to analyze Airbnb listing dynamics. My academic research focuses on leveraging Attention Mechanisms in GANs for medical image analysis.
I thrive at the intersection of innovation and precision, turning messy, complex data into clean, actionable intelligence.
Tools and technologies I use to build data-driven and intelligent systems.
General-purpose powerhouse for ML, data science, scripting, and automation across all my projects.
Advanced query writing, performance tuning, and warehouse modeling — my most-used language daily.
Modular SQL transformations with version-controlled models, tests, and documentation in BigQuery.
Asset-based pipeline orchestration — scheduling, monitoring, and managing reliable data workflows.
BigQuery, Cloud Storage, and GCP ecosystem for scalable modern data engineering pipelines.
Core data manipulation and numerical computing for analysis, preprocessing, and feature engineering.
Building CNNs, GANs, ViTs, and RL agents — from research prototypes to trained models.
Object detection, facial recognition, 3D reconstruction, and real-time vision systems.
Distributed processing for large-scale datasets — used for COVID-19 predictive analytics.
Translating raw data into business dashboards and actionable insights for stakeholders.
Relational database design, query optimization, and backup across academic and enterprise projects.
Sentiment analysis, text classification, and description quality evaluation using modern NLP techniques.
Computer Vision
A smart quiz system using Large Language Models that verifies user responses and provides detailed feedback.
IoT
End-to-end IoT system controlling lights, fans, and sensors via Arduino and a Bluetooth mobile interface.
Computer Vision
Implemented traffic sign detection using Faster R-CNN to improve automated road safety systems.
Computer Vision
Combined MTCNN face detection with SVM classifier for robust facial recognition task performance.
Computer Vision
Developed an AR-based interactive avatar fighting system using augmented reality with Unity.
Machine Learning
Integrated Vision Transformer with DQN to build an RL agent that classifies images via learned visual features.
Computer Vision
Real-time pedestrian detection with YOLO, augmented by XAI methods to interpret model decisions.
Computer Vision
VAE for high-fidelity image compression, reconstruction, and novel image generation from learned latent space.
Computer Vision
PointNet applied to directly classify unordered 3D point cloud input for accurate scene understanding.
Computer Vision
Multi-view stereo and Open3D to reconstruct accurate 3D scenes from multi-image input.
Machine Learning
Applied MATLAB for image filtering, enhancement, and edge detection in a structured processing pipeline.
Data Science
Processed large-scale COVID datasets with PySpark to predict fatality rates across countries.
Data Science
Classified tweet sentiments as positive, negative, or neutral using NLP and machine learning techniques.
Data Science
Built an automated pipeline for cleaning, normalizing, and encoding datasets for ML applications.
Web Development
Designed a reservation platform for scheduling and managing class registrations efficiently.
Available in English and French. Last updated 2026.
I'm open to data engineering, ML, or research roles. Whether you have a project in mind, a question about my work, or just want to connect, my inbox is always open.