Developed a full stack system including a custom user interface and deep learning models that is used by law enforcement officials to aggregate and analyze disparate geospatial datasets with only ten minutes of training.Established an end-to-end DevOps pipeline for testing and integrating an entire software stack in AWS consisting of multiple software repositories, languages, and services.Created custom deep learning models from scratch that identifies and contextualizes, in common law enforcement terms, patterns and anomalies in disparate geospatial data.

Principal software and machine learning engineer specializing in leading teams that build and develop real-time systems that extract, transform, load (ETL) and analyze billions of events a day in disparate data to automatically identify and highlight anomalies to other systems and users.Technical lead for an organization consisting of twenty-seven engineers and scientists with an annual budget of $5.1 million tasked with developing new software systems that integrate and analyze data from multiple sources in real time using NiFi, Elasticsearch, Python, Typescript, Vue, React, Docker, and various AWS services.Envisioned, architected and led the implementation of a software system using Spark, NiFi, Elasticsearch, Python, Typescript and AWS, that aggregates and analyzes billions of records a day using various machine learning models in real-time that was so successful in providing insights into how to assist Ukraine, the United States Congress provided additional funding to further accelerate the project and the Department of Defense (DoD) is seeking to create a duplicate system for their own use.Created and implemented a comprehensive pattern for a data triage system consisting of NiFi, Elasticsearch and various Python natural language processing (NLP) and machine vision (MV) based microservices that autonomously extracts, transforms, and loads (ETL) hundreds of gigabytes of disparate data a day, ranging from images to Microsoft Word documents, that has become adopted across several organizations in the US government. Experience developing and deploying multiple production grade full-stack applications using Python, Javascript, Typescript, React, Elasticsearch, Jenkins, Gitlab, Gitlab CICD, Terraform, Keycloak, NiFi, and AWS that have made previously unusable data immediately actionable by thousands of US government employees.

(Start-up Experience) Directs the development of the program management office of OneWeb. Responsible for analyzing the Integrated Master Schedule (IMS), determining inter-dependencies of the various segments, and building the program management office of the organization.Performed systems engineering and integration of satellite systems and subsystems to optimize national technical capabilities and architectures to include the ground and communication layers.

Directed an 18-person team charged with solving complex issues related to engineering and intelligence including kill chain analysis and modeling and simulation of complex aerospace systems.

Led national assessments and performed engineering analysis and development on advanced aerospace technologies in coordination with various intelligence and aerospace entities.

Oversaw the daily operations of the US Air Force's Logistics Directorate in the Middle East and provided assistance to the director by developing solutions to logistical issues.

Performed systems engineering on an aerospace system in Raytheon’s rapid prototyping division, "The Bike Shop."