• Responsible for developing and deploying end-to-end machine learning pipelines providing real-time recommendations to improve energy efficiency in commercial office buildings

• Leader of software engineering team, which builds customer-facing features to deliver machine learning recommendations to building engineers in Desktop and mobile apps

• Responsible for product team’s DevOps, including cloud deployments, database engineering, and infrastructure commissioning

• Machine Learning Stack: PostgreSQL, Python, Heroku, AWS, Snowflake

• Software engineering Stack: Ruby on Rails, React, JS, Heroku, Terraform

• Designed, developed, deployed, and monitored end-to-end machine learning systems

• Built and deployed numerous customer-facing features to serve machine learning recs

• Served millions of real-time recs for increasing building energy efficiency

• Extensive experience with version control, databases, testing, cloud deployment, CI

• Leading data scientist on team building automated data science tools and application

• Developed custom data science pipelines to solve customer’s business problems

• Built machine learning models for predicting loan repayment and engine failure

• Contributed to open-source library, featuretools, for automated feature engineering

• Data Science and Machine Learning writer with 500,000 monthly readers