May 2024 – Sep 2024 · 4 mos · Boston, Massachusetts, United States · Remote

Mar 2020 – May 2023 · 3 yrs 2 mos · Chicago, Illinois, United States

• Founding member of new machine learning team, responsible for building the team of machine learning engineers and data scientists. Architected and led the implementation of the ClearAI Platform, which enables rapid prototyping, development, and deployment of machine learning models. The design is a combination of a Neo4j knowledge graph for data integration, Kafka for rapid ingestion and updating of data in real-time, and Kubernetes for scale and resilience. The ClearAI Platform is now a customer-facing product (http://clearcover.com/ai) offered by Clearcover.

Apr 2019 – Mar 2020 · 11 mos · Greater Chicago Area

• Led data architecture, ETL efforts, and infrastructure deployment for client projects. Worked with data scientists and stakeholders to rapidly prototype and deploy high-impact machine learning models under demanding time constraints. Trained new data engineers and data scientists on fundamentals of software engineering, Python, collaborative development with Github, PySpark with DataBricks, and McKinsey's home-grown ETL framework, Kedro.

Jun 2018 – Present · 7 yrs 10 mos · Tallahassee, Florida Area

• I help organizations formulate and implement the right strategy to take advantage of their data. Technical solutions are important, but most of all I help companies adapt their organizations and processes to support their data science efforts. My work emphasizes delivering incremental value while laying a sustainable foundation for transforming the business over the long term.

Jul 2017 – Apr 2019 · 1 yr 9 mos · Chicago, IL

• Led a new team charged with implementing a data lake project. Helped design and implement modernization of Civis's ETL pipelines and management of core data assets that form the basis of Civis's data science efforts.

May 2017 – Jul 2017 · 2 mos · Chicago, IL

• Worked on design and implementation of new data architecture for the company, with emphasis on enabling data science efforts.

Mar 2016 – May 2017 · 1 yr 2 mos · Chicago, IL

• I work on a cross-disciplinary team applying machine learning and data analysis to major business needs, especially in customer relationship management. My responsibilities range from exploratory data analyses and development of machine learning models to affect KPIs, to developing the software infrastructure necessary to accelerate our data science pipeline.

Dec 2013 – Mar 2016 · 2 yrs 3 mos · Chicago, Illinois

• I developed custom code solutions and data analytics algorithms for Narrative Science, which transforms quantitative data into natural language reports. I have contributed to projects for a variety of Fortune-100 clients from industries including finance, technology, retail, and professional sports, as well as the United States intelligence community. Experience with a wide range of technologies, including SQL, MongoDB, Elasticsearch, Neo4J, and many scientific and machine learning libraries. Projects have involved natural language processing, sentiment analysis, and several machine learning techniques.

Jan 2011 – Jan 2012 · 1 yr · Melbourne, Australia

• Designed and implemented pilot project for analyzing unstructured news data to identify emerging disease threats. Wrote report on viability of expanding pilot program to a large-scale production environment. Presented findings at 2012 World Congress on Risk (Sydney, Australia).

Jun 2010 – Jun 2011 · 1 yr · Oxford, Mississippi

• Research relating to intelligence analysis for the Defense Intelligence Agency, grant-writing, teaching. (one-year position funded by federal earmark)

Jan 2006 – Nov 2013 · 7 yrs 10 mos · Columbia, Missouri Area

• Expert in logic, game theory, decision theory, and formal methods. Taught upper-level technical courses and published numerous research articles in peer-reviewed journals.

Jan 2003 – Jan 2006 · 3 yrs

• Taught and conducted research in philosophy of science and formal methods

Nov 2000 – Dec 2004 · 4 yrs 1 mo

• Conducted research into application of automated reasoning techniques to the discovery of proofs and models from various logical systems. Solved several open problems resulting in several peer-reviewed journal articles.