Slides for the talk on MLflow for the ML lifecycle management.
Researcher, educator and solver of computationally-intensive mathematical problems. I currently work as a Senior Data Science Developer Advocate at Databricks where I work on Data Science and Machine Learning. Prior to this, I worked as a Computational Scientist at Virginia Tech (2014 - 2020), where I had the privilege of working with some great minds and state-of-the-art science.
Deep Learning at Databricks
MLflow, Feature Store, Distributed Training, AutoML
Slides for the Big Data Symposium
Machine Learning at Scale
Talk given at the ADBIS workshop
Slides for the talk on End-to-End Enterprise Machine Learning.
Topic Modeling with PySpark and Feature Store
A Databricks post that I authored on creating a topic modeling pipeline with PySpark and the Databricks Feature Store:
Using Bayesian Hierarchical Models to Infer the Disease Parameters of COVID-19
Bayesian Modeling with PyMC3
Maintainable HPC with Python and C++
Slides from my presentation at the “Improving Scientific Software” conference at the National Center for Atmospheric Research (NCAR).