Experience

Azimuth Corporation
• United States
• Government Administration
• 1 - 100 Employee
• Software Developer

  • Feb 2021 - Present

None
• Information Technology & Services
• 1 - 100 Employee
• Software Developer

  • May 2020 - Feb 2021


Central State University

• United States
• Higher Education
• 400 - 500 Employee

• Object Detection on Varroa Mite Biting Bee Leg

  • Aug 2019 - May 2020

  - Installed a Dual-Boot system for Windows and Ubuntu for Linux driver dependencies to correctly work within a container. - Off-loaded data onto the Ohio-Supercomputing clusters for faster run times, this was all in a container enviroment. - Annotated hundreds of Mite image for leg detection provided by other student researchers, as to whether or not they are missing, intact, or unknown. - Documented changes, issues, and random occurrences within the research project as it progressed. - Chose to use the YoloV3 network over Faster R-CNN as the base for leg detection, given its ease of use. - Planned to off load algorithm onto a phone application, for ease of usability for farm workers. Show less



Wright Patterson Airforce Research Lab

• Airforce Researach Lab

  • May 2019 - Aug 2019

  - Learned how to operate a Linux machine and edit python code pertaining to deep learning in PyTorch - Learned how to pull code down from GitHub/Lab and how to push it back onto the main branch/fork - Pushed code in container environment onto computing clusters for faster training times and less delays from a queue. - Assisted in solving an ongoing Cuda compiler error with help from my mentor. - Debugged and re-ran test cases to see why there was a container run time issue not allowing correct use of clusters - Algorithm trained on a large set of publicly available images and then tested said algorithm on a subset of the data set. - With a partner we incorporated a different feature extractor (refine net) to see how different the results would be from the base. - Documented all work and tracked all changes through GitLab and the government issued VDL page. - Presented work in front of a board of executives and had a poster session at the end of the internship Show less

• Neuron Network

  • Oct 2018 - Nov 2018

  Created an image Classifier using Tensor flow in the Docker terminal to get the accuracy by comparison - Written inside of the Docker shell, using the macOS terminal - Allocated two sets of 100 different images each for the retraining process to test accuracy of the data. Created my own Jupyter database to store information -Analyzed the data and increased the sample size to output better accuracy Created an image Classifier using Tensor flow in the Docker terminal to get the accuracy by comparison - Written inside of the Docker shell, using the macOS terminal - Allocated two sets of 100 different images each for the retraining process to test accuracy of the data. Created my own Jupyter database to store information -Analyzed the data and increased the sample size to output better accuracy