Contributed features to and maintained open source machine learning metadata library. Upheld internal service availability with rotating on call duty shifts. Supported junior engineers through the feature development process. Reviewed and critiqued coworkers' design documents and code submissions.

Developed and applied machine learning techniques to proofs of principle including unsupervised annotation of ultra-high resolution images in the RootShape project (DoE), recursive multi-agent reinforcement learning algorithms (DARPA), and empirically measurable generalization bounds (NGA).

Led recitations, held office hours, graded homework and exams for undergraduate-level mathematics subjects including calculus, combinatorics, linear algebra, convex optimization, probability and financial maths. Lectured in convex optimization.

Financial analysis. Projected inventory using ARIMA models. Automated extraction, transformation and loading from hybrid ERP system.