Chris is a technologist & leader specializing in research engineering, advanced algorithm analysis & development, and data science & engineering. He has worked in the aerospace, medical device, agriculture & biotech industries, with experience in multiple domains including machine learning, data analytics, computer vision & image processing, & cloud software engineering.
Manager, Software Engineering | Field & Environment
Lead & grow team of software & data engineers in conjunction with the Field & Environment Data Science team. Build structured & unstructured data pipelines for geospatial, weather, & agronomic data using AWS serverless architectures. Drive cross-org collaboration to align teams & deliverables across Grower Field Operations, Digital-AgTech, & Data Science.
- Enabled commercial operations to scale their contracted acreage from 20K to 70K acres in 2021.
- Deployed new Field & Environment feature engineering pipeline, removing 3 weeks of harvest prep work from Data Science team.
- Created department strategy & roadmap for adoption of ML Ops tooling & practices to accelerate Data Science model development.
Senior Consultant | Data & Analytics Group
Led data science & engineering projects & teams for enterprise clients. Mentored data scientists, data engineers, & analytics professionals.
- Developed models & visualizations for predicting pest prevalence in agricultural field trials.
- Developed image processing algorithms in Python for UAV geospatial imagery.
- Designed AWS cloud analytics pipeline for on-demand processing of experiment data using Kafka, Redshift, & AWS Lambda.
Clinical Software Engineer | Advanced Concepts Group
Developed prototype software & algorithms in C++ & Python for new features for the Navigant remote magnetic navigation system. Navigant is used to perform catheter navigation during ablation therapy, a treatment for cardiac arrhythmia.
- Developed surface fitting algorithm to detect geometric positions during navigation.
- Created impedance prediction models for predicting catheter contact to heart tissue.
- Led field investigations & testing to support physicians using new system features.
Advanced Technologist | Boeing Research & Technology
As an Advanced Technologist, performed research and development of distributed machine learning technologies for prognostic vehicle health management. As a Software Engineer, developed image processing models for factory automation & defect detection using C++ & openCV.
- Deployed models for anomaly & defect detection using Apache Spark & Hadoop.
- Integrated software with mechanical components & Keyence laser sensors for robotic defect detection system.
- Co-authored 3 patents.
Associate Consultant
Developed SQL, business intelligence, and database design in Teradata. Interfaced with clients to determine business rules and develop deliverables.
Graduate Teaching Assistant
Instructor for Differential Equations, Calculus, and Algebra/Trigonometry courses.