Software Architect sitting on the Data Science team. • (2023) Technical Lead for Communication Analysis in Reveal-Enterprise: Led the backend development of a new communication analysis feature built from scratch.  Lead Java developer for core system including algorithm design and implementation, data engineering, and API design. Worked closely with product team on what user experiences could be supported by new backend algorithms. Led technical initiative across teams to fully integrate into multiple systems introduced through acquisitions. (Java, Docker, Kubernetes, Jira)• (2024) Engineering Owner for "Ask" in Reveal-Enterprise. Led the transition of a data science prototype of a RAG (retrieval-augmented generation) indexed with customer data, called Ask, into a production feature. Responsibilities included design, project management, and code reviews of APIs, integration points, and DevOps. The feature was deployed to production as the first user of a third-party feature-flag system that has since been adopted company-wide. (AWS Bedrock, Jira)• (2024, ongoing) Product Engineering for a forward-looking eDiscovery feature using generative AI.

As a Senior Software Engineer, my focus was on Backend and Machine Learning within the Biology Visualization Group at NCSA. Our projects develop visualization design and machine learning approaches to address global challenges in human health and wellness. This is achieved by delivering analytics results to medical researchers while building reusable software components to support advanced data science workflows. • (2016-2019) Lead Backend Developer of a platform for data science and web applications. This platform is based on common data types shared between frontend, backend, and data science jobs. Technology uses Docker, Postgres, Flask, Python.• (2018-2019) Project Manager and Lead Developer of the DeepPhoton Project. DeepPhoton is the analysis of Multiphotonic images (an imaging technique that allows intact biological samples to be visualized at high resolution) of cancer biopsies using various Machine Learning techniques, including Deep Learning. The core focus is to build better tools for annotating complex medical images and simplify data management of the resulting training data for machine learning. • (2016) Lead Backend Developer for Omix Omix is a webapp that visualizes microbiome analytical results built in collaboration with Mayo Clinic’s Center for Individualized Medicine. This project involved the design and creation of a software system that ingests microbiome data from multiple studies, processes the data, performs analytics and displays results in an interactive web-based environment.

Visual Intelligence for Biology moved from ARI to NCSA in 2016 due to a reorg - projects and team were not changed.

As part of the Automated Merchandising team, I was responsible for bundling deals (Groupons) into widgets to be displayed anywhere on the Groupon website or mobile apps. Personal areas of focus: • Machine learning system for adjusting the relative rankings of widgets in different contexts.• Integration test suite of the core system, written in Python. • Build automation using Python, Capistrano, Maven, Jenkins, and cron.• General software engineering of a Java webapp on an 8 person agile software team.• International rollout of core service to 20 countries in Europe and Latin America.

As an independent contractor I worked on the following projects: • (2013) Nexlp. An e-Discovery startup in Chicago. Their core product uses a natural language processing toolkit from the University of Illinois and a graph database (Neo4j) to analyze sets of millions of emails at a time. Primary deliverable was a pattern detection module that combined frequent item set analysis and anomaly detection to generate patterns of the form "Bob emailed Sally late at night about Chicago 12 times during the week of Dec 4, 2006, but normally this occurred 0.03 times/week." • (2013) rVibe. A boutique maker of training software for the pharmaceutical industry. Handled devops for the company for nine months. Designed and implemented build tools and a performance benchmarking suite. Performed weekly deploys to production servers and adjusted agile release schedule and methodology as needed. • (2011-2012)Fuzzy economics project. Privately funded by a (stealth) organization, this was a bleeding edge project to create a system for creating expansive yet detailed ontologies of hypotheses and their supporting evidence. Built the full stack prototype using Java EE with JSP and the JavaBayes toolkit for Bayesian Networks.

Developed an algorithmic trading application written in Ocaml using genetic algorithm and statistical modeling techniques to find market price patterns on a time scale of less than one hour. Trading strategy optimization is the first application that uses DesignByRobot's data model for machine learning and automated design technology. http://designbyrobots.com

Acted as a core developer and release engineer for project SEASR. SEASR is a development platform and analytics toolkit for Humanities research communities to to develop, share, and deploy analytics driven web applications, primarily involving digitized document collections. Primary responsibility was design and execution of release process, including integration and final QA

Acted as technical liason to sales and marketing. Brought technical expertise to solution consultations, sales calls, investor briefings, and other customer facing situations. Also responsible for defining marketing messaging by authoring abstracts and white papers, particularly in new markets and early stage product roll-outs.