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).