Scaling and building state of the art backend and data infrastructure for Machine Learning systems.

Led a team of engineers to build out the full stack web vertical.

Steered the ever changing AB tests to optimize the user acquisition funnel.

• Manage a team of 8 to manufacture Pyralux and PyraML products with daily meetings, status reports, and maintenance work in a fast-paced environment. • Aggregate and analyze customer feedback to design and produce improved products. For example, conducted a 12-week project that improved splitting prevention in the coating process. • Lead improvement projects that require interfacing with multiple teams, such as managerial, design, reliability, and maintenance, to achieve best-fit results.

• Created pages for DuPont’s social networking web space, Confluence, with features including forums, news streams, and blogs. • Developed an internal web-based program that streamlined the Information Supply Chain process, using java, html, and javascript, for the 20 global plant sites. • Presented work and results to plant site leaders at Global Manufacturing Technology meetings.

• Launched own research project: developed research approach and proposed real-life applicability. • Conducted testing and data analysis on an ab-initio calculation software, Schrödinger Jaguar. Presented progress and observations weekly to Professor McNeill and the research group.

• Collaborated in the creation of a buoy that would collect data on ice formation and variation levels in the Antarctic Sea. Dealt with the calibration and wiring of thermistors and their physical addition onto the buoy.• Managed the preliminary stage of developing an analysis technique to process the data from the buoy.