Daniel Karasek

Atlanta, GA 30339 | 678.779.2074 | karasekdaniel@gmail.com

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Work Experience

  • 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


  • Authored SuperB: Superior Behavior-based Anomaly Detection Defining Authorized Users’ Traffic Patterns, IEEE affiliated ICCCN 2020
  • Co-authored Investigation of Noise Pollution On Campus Due To Building Chillers, Internoise 2015
  • Authored Undergraduate Capstone Research Closed Neighborhood Union Closed Graphs, SPSU 2014
  • Co-authored Permutations Ups and Downs, MAA SE Section Conference 2012


  • Master of Science in Computer Science, Kennesaw State University, 2020
  • Dual Bachelor of Science in Mathematics and Physics, Southern Polytechnic State University, 2014


  • First Author IEEE Conference Published
  • Best Graduate Research Award Fall 2019
  • Thesis Published to KSU Digital Commons
  • Deep Learning Solution Ideation
  • Technical Writing and Documentation
  • Edge Computing Machine Vision Prototyping
  • MapReduce Algorithm Development
  • Eagle Scout Award, National Leadership Training

Technical Proficiency

Python, LaTeX, R, Scala, C, Java,Tensorflow, Anaconda Suite, Pycharm, Wireshark, Excel, ImageAI, OpenCV, Apache Spark, Git, MatLab, Windows, Linux, Raspbian