Backend software engineer, not afraid to take on new challenges by digging in wherever I need to. I have a desire to do things right and to improve the businesses and systems I work in.

2024 — NowCorbaltSenior Software Engineer

2024 — Now

Building better software infrastructure for government

2021 — 2023AmazonSoftware Development Engineer II

2021 — 2023

Sunnyvale, California, United States

Worked in the Classification and Policy Platform (CPP) organization which classifies the billions of items in the Amazon catalog. Worked within multiple teams in CPP, mainly the Governance team which was tasked with improving the overall system as seen by users and owning classification authoring.

Designed and implemented a new onboarding process, which reduced the onboarding time to CPP for a new internal Amazon team from 6 months to as little as two weeks. Created a Java on AWS Lambda backend which could interface with the different teams’ systems within CPP. Worked with 8 different teams within CPP to finalize requirements and help them with interfacing with the onboarding system. Directed work done by two engineers for 3 months plus, as well as shorter term efforts by four more engineers.

Learned React and UI programming to build out the onboarding UI.

Was the senior-most engineer on a new team, provided technical advice on databases and architecture, and quickly became an expert on Amazon-internal tooling. Drove process improvements to reduce issue backlog.

In the Anomaly Detection team, implemented an algorithm (designed by an applied scientist) in Scala Spark that used image similarity to find possible misclassifications.

2018 — 2021Yummly (A subsidiary of Whirlpool Corporation)Software Engineer, Data Team

2018 — 2021

San Francisco Bay Area

Use Scala, Clojure, Python, Postgres, Elasticsearch, Redshift, BigQuery on AWS (CloudFormation, ECS, EC2, DynamoDB, RDS, Batch, Step Functions, S3, Lambdas) and Google Cloud (BigQuery) to build, maintain and operate software for Yummly's data team. Some highlights:

Built the backend for a new feature (Virtual Pantry) including designing APIs, validation, Postgres schemas and queries, monitoring. Used TypeLevel Scala libraries (Cats, Doobie, Circe).

Connected the data team's monorepo to the development deployment system used elsewhere in the company.

Modernized legacy Scala code deployment, code style, libraries. Became a resource on this code and successfully added new features.

2014 — 2018Virtual Power SystemsSenior Data Scientist / Algorithm Engineer

2014 — 2018

San Francisco Bay Area

Implemented machine learning algorithms for power prediction in datacenters. Developed new algorithms for power control in data centers. Led three-member data science and algorithms team. Implemented algorithms and data pipelines in actor-based distributed system built on Scala and ElasticSearch.

2014 — 2014StreamscaleResearch Consultant

2014 — 2014

Designed, prototyped and documented new methods for error-correcting codes using probabilistic and algebraic methods. Assisted with patent preparation.

Education

2007 — 2013

University of Arizona

Doctor of Philosophy (PhD)

2007 — 2013

2003 — 2006

The University of Queensland

Bachelor of Science (BSc)

2003 — 2006

Experience+

Education

Doctor of Philosophy (PhD)

Bachelor of Science (BSc)