Slides for the talk on MLflow for the ML lifecycle management.

## About

Researcher, educator and solver of computationally-intensive mathematical problems. I am currently employed as a Staff AI Research Scientist at Sage AI where I solve problems in fintech using Machine Learning and Data Science. Prior to this role, I was a Senior Data Scientist at NerdWallet, a Senior Data Science Developer Advocate at Databricks and a Computational Scientist at Virginia Tech.

My current research interests are Natural Language Understanding, Reinforcement Learning and MLOps.

## 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++

### NCAR presentation

Slides from my presentation at the “Improving Scientific Software” conference at the National Center for Atmospheric Research (NCAR).