• Tech lead of one of 3 machine learning teams

• Responsible for infrastructure that delivers batch "history" based features in training and production environments

• Responsible for the streaming infrastructure that delivers real time “history” features

• Enable data scientists to write features against either infrastructure

Developed ETLs to move production data in new formats to secondary data storages (data warehouse for advanced queries, datalake for feature production, search).

• Collaborated on a new data model that was the output format

• Developed deployment strategy, testing infrastructure, error handling.

• Configuring spark job and cluster size to meet data SLAs and minimize costs.

Developed an infrastructure for streaming "history" features on Flink.

• Interfacing development of new features on this infrastructure with previous feature development process.

• Process for backfilling new features

Projects:

Developed event pub/sub infrastructure via kinesis

• Scaling to support more event types.

• Wrote a general consumer that could execute business logic written by other teams while handling checkpointing, parallel processing, and error handling

• Developed monitoring for consumption and publishing to minimize downtime as well as error recovery.

Migrated from solr to elasticseach search database

• Worked with Elastic.co to spec out and execute contract

• Developed indexing strategy

• Wrote microservice for translating existing search into elastic queries

• Tested against production loads and scaled up cluster accordingly

Developed inverted index infrastructure for "history features"

• Validated new features against old features

• Wrote microservice that features interface with to deliver necessary underlying data.

• Added a feedback loop to the Notifications service to alert customers if their outgoing notifications were failing.

• Worked with: Java, Memcached, Thrift, Angular

• Led all front end projects for the 'Dashboard' web app.

• Worked on backend projects relating to: reporting, click/install tracking, billing, and RTB

• Designed and implemented the Grow Mobile Campaign Creation API

• Designed and built the ‘Media Planner’; an ad-network recommendation engine

• Designed and built the ‘Intelligence Directory’; a smart directory of ad-networks integrated with GM

• Wrote the Adobe Air Native Extension (ANE) for Grow Mobile’s iOS and android SDKs

• Built several internal tools; including an internal search tool and a filterable change log

• Responsible for S2S integrations with advertisers and with ad-networks for install tracking

• Wrote scripts to help automate the ad-network on boarding process

• Integrated ad-network APIs with the GM Platform to help automate campaign reporting

• Designed and maintained the company website.

• Worked with: Ruby on Rails, JavaScript, HTML/CSS, SQL, Objective C, and Java