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> whoami

πŸ‘‹ Hey, there! I'm Charles, a Machine Learning professional from Quebec, Canada πŸ‡¨πŸ‡¦.

I'm currently working at Avidbots where I lead the Machine Learning Platform team. Previously at πŸ€ Dribbble where I lead Data/ML. I'm also working towards a Master’s degree in Data Science at Harvard.

> which [TECH]

> which language

Python Typescript R Go Scala C++

> which framework

Spark PyTorch Dagster FastAPI Flask Ray dbt celery React

> which data-store

Elasticsearch Kafka Neo4j Redis Snowflake PostgreSQL

> which infrastructure

AWS Google Cloud Terraform Docker

> echo $CONTACT

Reach out to me over on my LinkedIn profile.

Charles Lariviere's Projects

csci-e25 icon csci-e25

Course materials for Harvard Extension School computer visions course, CSCI E-25

dagster icon dagster

A data orchestrator for machine learning, analytics, and ETL.

dbt-unit-testing icon dbt-unit-testing

This dbt package contains macros to support unit testing that can be (re)used across dbt projects.

mitx-6.86x icon mitx-6.86x

MITx - 6.86x - Machine Learning with Python-From Linear Models to Deep Learning

petastorm icon petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

segment icon segment

Data models for Segment built using dbt (getdbt.com).

tensorflow-lifetime-value icon tensorflow-lifetime-value

Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.

tensorflow-recommendation-wals icon tensorflow-recommendation-wals

An end-to-end solution for website article recommendations based on Google Analytics data. Uses WALS matrix-factorization in TensorFlow, trained on Cloud ML Engine. Recommendations served with App Engine Flex and Cloud Endpoints. Orchestration is performed using Airflow on Cloud Composer. See the solution tutorials at:

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