June ‘19 - May ‘20: Graduate Research Assistant, KSU Information & Intelligent Security Lab
- Developed a cutting edge deep learning model using multiple neural networks for network intrusion detection.
Designed a project outline to fully verify the performance of the model against academic research standards.
Trained and tested the model using collected network data and public datasets. Directed colleagues in creating
a paper accepted for publication.
Increased project’s time-to-market by 27% & reduced project expenses by 82%
Research garnered interest in industry adoption by the CDC, Cybriant, and Shaw Industries
Model returned 100% TPR and 0% FPR
Collected and managed over 80 GB of sensitive network data
Research financially supported by the Ministry of Science and ICT of South Korea
Jan ‘19 - May ‘20: Lead Developer, KSU MSCS Project
- Developed a prototype inventory management device using computer vision on a Raspberry Pi.
Presented the project on behalf of KSU CCSE at the request of my department.
Improved the performance of an existing Tensorflow API by 48%
Prototype capable of detecting 90 different objects from the COCO dataset
Prototype achieved near 100% TPR and 0% FPR
Jan ‘17 - Sep ‘19: Corporate Research Specialist, The List Partners
- Facilitated increase in client success by providing accurate data. Maintained a Filemaker
backend with improved workflow. Trained new hires on my team.
Maintained 100% quota for completed database updates all quarters
Increased efficiency of department operations by 10%
Improved core product value by 7% quarterly
Interacted with hundreds of clients a week to help drive sales growth
