Provide leadership to team on top of technical responsibilities. Coach junior developers on coding best-practices and design philosophies. Serve as project manager on engagements with front-end developers.

Founding member of the ML team at Coterra, helping the team grow its product to become the most critical decision-making tool at the company. Served roles across many disciplines depending on the needs of the team: developer, ML engineer, DevOps engineer, cloud architect, or geoscientist. - Develop/improve machine learning models to predict production in our actively-developed unconventional basins- Build DevOps and Cloud Infrastructure practices to support scalability of the model- Develop and refine algorithms to automatically interpret data over a very large scale- Design, deploy, and manage cloud compute environments and architecture - Work with front-end teams and Business Unit personnel to build custom solutions- regularly present findings to influence key decision-makers - mentorship both within team and external

Responsibilities included: operations/development planning, multi-basin exploration, induced seismicity analysis, geoscience data analytics, seismic interpretation, and more.

Responsibilities included: Microseismic project management, seismic processing, seismic inversion, seismic interpretation and technical advising.

Geophysics Intern working with various geophysical methods including seismic inversion, AVAZ Analysis, interpretation, and log analysis. Worked part time while going to graduate school.

M.Sc. in Geophysics from Colorado School of Mines as a fully funded member of the Reservoir Characterization Project. Research focused on examining the relationship between Azimuthal Amplitude Anisotropy (AVAZ) of seismic data and reservoir pore pressure. Finished May 2017.

Contribute to testing and development of an existing algorithm that aims to eliminate water-based multiples in seismic data caused by a varying or rigose water bottom. Accomplished through the use of proprietary Schlumberger software including Petrel 2013 and Omega 2014.

Create an automatic process to investigate and correct mnemonic and unit errors in well log databases to be maintained in all databases over time. Present results to a panel at the conclusion of the internship to discuss the future implications of the work done.