Chris Grudzinski

About Chris Grudzinski

Information management, security, and protection researcher; data analyst; avid learner. I am particularly interested in developing novel solutions to problems related to automated data extraction, translation and analysis, unauthorized access/use detection, and automated data translation using formal semantic models (e.g. OWL and other semantic web languages). Challenges and problems that motivate me typically require creativity, novel applications of technology, and don\'t have well-known general solutions. My goals include contributing to the advancement of computer science, information science, and security research, helping to make cutting edge research methods available for general use, improving the state of information assurance on both an academic and a practical level, and using my background and experience to help others more effectively protect, share, understand, and use data.Specialties include: information security metrics, artificial intelligence / machine learning based approaches to data extraction and translation, general service integration/data-flow automation in a variety of languages (Python, C#, Java, JavaScript, Perl, Bash, OWL), creative problem solving, intrusion detection and response, vulnerability and risk assessment, written and oral communication.

Experience

1. Machine Learning Architect Senior Software Engineer

   CHEQ

   Jul 2022 — Present · Libertyville, IL, US

   After an acquisition by this exciting web-based security company, I am continuing to develop data driven detection and response frameworks for malicious activity in the marketing security (MarSec) space. A bit different than traditional security applications, but with its own unique challenges and threat model.Recent projects include:* Exploring data-driven/ML approaches to bot detection and client-side detection of compromised websites;* Applying statistical models to accurately predict compressed string sizes given uncompressed input string sizes for LZString and LZ4 compression to improve website performance;* Developing automated categorization of web requests related to e-commerce tags and transactions;* Identification of potential transaction compromises based on web site activity during customer interactions;* Real-time detection and blocking of automated undesirable requests in the browser with JavaScript;

Education

• Iowa State University

  B.S., Computer Science

  1996 — 2001

• Iowa State University

  M.S., Computer Science, Information Assurance

  2005 — 2009