Gabriel Parent
Gabriel Parent is founder of GPSE Consulting.
Gabriel received his Master in Language Technology from Carnegie Mellon University in 2011 where he published papers on word sense disambiguation, spoken dialog systems, and crowdsourcing.
Following graduation from CMU, Gabriel spent 6 years at Amazon, helping to optimize the customer experience with recommender systems, deep learning and more, for one of the world’s most innovative machine learning and data science organizations.
In 2018, Gabriel founded GPSE Consulting to help other businesses leverage machine learning to operate more efficiently, make decisions faster, more quickly and cost-effectively, and deliver customer experiences that increase revenue and enhance satisfaction.
Contact Gabriel to schedule an informal discussion about how machine learning can deliver solutions to the business problems your organization is facing.
Previous Occupation
Amazon Music
Machine learning engineer, 2015-2017
Amazon.com
Software development engineer, 2011-2015
Education
Carnegie Mellon University
Masters in Language Technologies, 2011
École Polytechnique de Montréal
Bachelor of Computer Engineering, 2009
Technical Skills and Experience
Languages: Python, JavaScript, Java and more
Libraries: Cython, numpy, pandas, TensorFlow, scikit-learn
Tools: Jupyter, Spark/Hadoop, Docker, CICD pipelines
AWS: CloudFormation, Lambda, DDB, Glue, S3, EC2, EMR, SQS, Redshift, ECS and proficiency with many more.
Systems Design: significant experience designing distributed systems