Toronto, Ontario, Canada
Currently serving as a Research Assistant at Toronto Metropolitan University, contributing to data preprocessing and analysis using Python and validating algorithms with real-world datasets. With over 8 years of professional experience, expertise spans machine learning, data engineering, and backend development. Previous roles include developing Python-based backend services, building data processing pipelines, and creating computer vision pipelines for document and image processing. Proficient in designing and optimizing large-scale data systems, ensuring efficient and production-ready solutions across diverse data engineering and machine-learning projects.
• Developed Python scripts for data preprocessing and analysis • Validated algorithms using real-world datasets • Worked in an English-speaking research environment
• Built Python-based backend services and data processing pipelines • Delivered production-ready solutions for multiple clients
Learn french at Laval university.
• Developed and deployed computer vision pipelines for document and image processing • Trained and optimized deep learning models for detection, segmentation, and similarity matching • Improved processing efficiency by 50% on GPU-based systems
• Designed and maintained Spark-based data processing pipelines • Processed large-scale streaming data using Kafka and Hadoop • Reduced client complaints by 80% through system refactoring