Eric Honsey

Analyzr AI is a machine learning platform for business analysts to submit typical machine learning jobs. An Angular front-end web application guides users through submitting data, details, and target algorithms for regression, propensity, and clustering models. Back-end Python APIs manage the machine learning jobs running on Kubernetes clusters.

MY ROLE
• Increasing the back-end throughput to reduce job run time and handle larger data sets.
• Creating a Terraform pipeline to quickly provision and manage ephemeral, test, and client production environments.
• Preparing the application infrastructure for SOC 2 certification.

The latter portion included:
• Contributing to scalable infrastructure strategies.
• Implementing system monitoring and observability.
• Making required changes to match modern information security regulations and practices.

Windfall Data provides a customer enrichment platform to discover new market opportunities in affluent markets. The platform enables customer insights via publicly available data, audience campaign generation, and integrations to common marketing platforms. Through prospect research, propensity modeling, and advanced analytics, Windfall partners can drive sales and revenue. The environment meets the highest security standards via SOC 2 compliance. I was a core member of the back-end engineering team.

MY ROLE
• Data build generation, customer research, audience generation, and data source management in Google BigQuery, PostgreSQL, and Apache Airflow.
• Redesigning and refactoring a microservice providing an interface to complex customer generation logic.
• Designing and implementing a generic scheduling microservice in Kotlin.
• Production monitoring and incident management support.

FullContact provides a customer resolution and enrichment platform that enables customer insights and builds trust between people and brands. FullContact partners can identify current and prospective customers, gain data-driven insights into audiences, and verify identities to protect against fraud. The platform follows modern security best practices and allows users to control personal information shared with brands. I acted as a core member of the back-end engineering team.

MY ROLE
• General development, maintenance, and continuous deployment of microservices fleet built on RESTful API best practices and event-driven message communication
• Data source analysis, verification, and ingestion from various sources and ad-hoc analysis.
• Creating and managing Amazon EMR-based Spark jobs.
• Technical deep-dive into regularly loading terabytes of HDFS data to Cassandra clusters and accompanying analysis.
• Development and maintenance of legacy Clojure applications.
• Production toil reduction, monitoring, improvement, and incident management.