I am an applied machine learning developer and data science enthusiast, currently working at CRIM in Montreal. I am interested the data science process, neural networks, representation learning, explainable AI, data visualization, software engineering and MLOps.
Misc. Short scripts, github Gists, presentations and archived projects
- Dec 2, 2019
- Setup Google Colab to use GPUs on local SLURM cluster
- Jun 9, 2019
- Visualization experiments: Presenting prediction uncertainty of machine learning models
- Jun 7, 2019
- Interpreting CNNs using output maximization in pytorch - A quick script EDA and graph visualization using datashader
- Jan 4, 2019
- Exploring Digital Ocean managed Kubernetes service.
- Dec 7, 2018
- Advent of Code 2018 - Approaching day #7 challenge using Constraint Programming (OR-Tools)
- Jul 12, 2018
- Categorical variable encoding , blog post co-authored with Farooq Sanni
- Feb 4, 2018
- Loading and tiling geotiff in with GDAL.
- Feb 4, 2018
- Helper script to visualize embeddings using Tensorboard projector.
- Jan 24, 2018
- Presentation: Introduction to GPU profiling tools , presented at CRIM.
- Oct 24, 2017
- (outdated) Recipe to deploy a dask cluster on EC2 spot instances with Packer and Terraform.
- Aug 8, 2017
- NYC taxi challenge - EDA and graph visualization using datashader
- Aug 8, 2017
- Old, end-of-school, 2015 CV featuring (broken) horizontal scrolling
