University Of Georgia – 3.94 GPA
Artificial Intelligence – M.S.
Attained a master’s degree in Artificial Intelligence. Thesis explored fully convolutional deep learning architectures for semantic segmentation of image data. Coursework included a variety of topics including scalable machine learning, computer vision, deep learning, and advanced data analytics.
Southern Virginia University – 3.87
Computer Science, Business Management – B.A.
Completed a bachelor’s degree with majors in both computer science and business management. Graduated with 162 credits in June 2016. Maintained a computer science major GPA of 4.0. Served as president and founder of the Southern Virginia University Robotics Club and as the chair of the Southern Virginia University ACM student chapter.
University of Virginia – 4.0 GPA
Completed 12 credits at the University of Virginia, studying Modern Hebrew in the Summer Language Institute intensive language program and received perfect marks.
Machine Learning Scientist, Applied Research
May 2018 – Present
Currently leading machine learning research at Ellucian, delivering proofs-of-concept and deploying product enhancements in the higher education administrative space.
Collaborating with architects and developers to define, deploy, and refine the cloud services-based machine learning architecture at Ellucian.
Presenting deep learning and computer vision research at a variety of workshops and venues to educate customers and fellow data scientists.
Deep Learning Research Assistant
University of Georgia – Visual and Parallel Computing Laboratory
May 2017 – May 2018
Conducted research as student lead on a deep learning project in conjunction with the Department of Marine Sciences. Exploring fully convolutional semantic segmentation architectures using underwater survey images from the Florida Keys for the purpose of mapping and tracking the coral reef.
Research was published in two CVPR papers and led to a top-1 classification accuracy of 88%, outperforming all previous models for this task.
University of Georgia – Virtual Environments Laboratory
August 2016 – May 2018
Using Unity and computer vision techniques such as photogrammetry to develop virtual environments for research projects in medicine, advertising, and psychology.
Machine Learning and Computer Vision Engineer
Grimm Artisanal Ales
Developed in-lab yeast analysis computer vision software to automatically determine and track yeast health metrics.
Organized ground truth data collection and achieved 97% cell count accuracy and 95% health classification accuracy.
Lead Web Developer
Southern Virginia University
Developed a new, fully-responsive website for Southern Virginia University in an open-source content management system. Managed the design and implementation of the site, substantially decreasing development costs and saving the university thousands in yearly licensing and maintenance fees.
Mobile traffic increased from 29% to over 50% within six months after the launch of the new responsive site, a sign of a strong user experience for mobile users.
Assisted in growing a robust intern program, managing and training new web development interns to sustain in-house development.
Southern Virginia University
Managed all content on the Southern Virginia University website and made regular changes to keep the site up to date.
Apple Product Professional
CityMac Apple Store
Conducted hardware and software repairs on Apple products as a technician and support professional.
Assistant to the Office Manager
Worked as a receptionist, directing phone calls, answering questions, filing invoices, and performing other customer-service related tasks.