Vice President Engineering & Data Science
Arlington, Virginia, Us
Helped the engineering and data science teams of this Kleiner Perkins backed unicorn construct the preeminent graph of business relationships and supply chains. Interos applies machine learning at scale to uncover risk by discovering unknown relationships for the public & private sector customers of their SaaS platform.• Served as Executive Officer for the team through growth and fundraising efforts that culminated in a successful $100M Series C round with a post-money valuation exceeding $1B • Lead strategy and execution of scaling and direct reporting for the architecture, engineering, project management and data science teams while rapidly growing group from 14 to over 160 amazing full time employees• Delivered kubernetes-native event-driven data intensive platform on AWS standard and GovCloud • Responsible for developing and operating internal and customer-facing SPAs using front end frameworks including Javascript/Typescript/React for various database systems Postgres, Snowflake, Neptune leveraging Next.js/Node.js/Lambda/GraphQL• Developed data pipelines for massive ETL architectures to support timely extraction, ingestion, routing, and ML model processing of both structured and unstructured data utilizing technologies such as Kafka, Prefect, Elasticsearch, Snowflake, Postgres, Neptune, SageMaker• Integrated of Amazon Web Services infrastructure and automation of CI/CD pipelines using technologies: Kubernetes, ArgoCD, Gitlab• Delivered robust systems with real time monitoring, alerting, and logging to reduce operational overhead using Datadog, Splunk, Kibana, PagerDuty• Oversaw development and operations for novel advances in entity extraction, entity linking, article classification, sentiment analysis, and predictive models that generated customer value via Python and various machine learning algorithms and techniques• Provided strategic, operational, and technical support for post acquisition assimilation & refactoring of M&A assets