• Leading the Engineering Teams @ SparkCognition developing AI powered technology across several verticals
• Pursuing a Doctorate of Science in Cybersecurity focusing on developing a next gen network intrusion detection system (Research Source code: https://github.com/jcapellman/MLIDS)

Like most engineeers - I love to code, creating something from a blank canvas inside an IDE since I was 9 years old has always captivated me. Below are a few highlights of this side work I do after hours in my free time. Some repositories are at early stages from a weekend or evening deep-dive - if interested in the work or want to take it over please let me know.

• AMLIDS - Android Machine Learning IDS (https://github.com/jcapellman/AMLIDS)
• Cleanware Generator (CWG) - File Generation as a service for creating EICAR files (https://github.com/jcapellman/cwg)
• Macho File Parser (MFP) - From scratch Macho parser written in C# (.NET 6) with support for Fat Binaries, ARM64, X86 and AMD64 files (https://github.com/jcapellman/MFP)
• Malware Efficacy Over Time (MEOT) - Web App to track detection capabilities over time (https://github.com/jcapellman/MEOT)
• Malware Embedding Tool & Library (METL) - Advanced Malware Techniques (https://github.com/jcapellman/METL)
• Windows Event Tracing (WET) - Wrapper for handling and capturing events (Registry, Network, Process etc.) (https://github.com/jcapellman/WET)

Repository of Threat Research from some nights and weekends digging into APTs (https://github.com/jcapellman/Threat-Research)

• DMTP - A Machine Learning Training Platform (https://github.com/jcapellman/DMTP)
• Filex - A Machine Learning approach to File Classifiction (https://github.com/jcapellman/filex)
• ML.NET Deep Dives - ML.NET repo (https://github.com/jcapellman/mlnet-deep-dives)

• bbxp - Blogging Platform (https://github.com/jcapellman/bbxp)
• BravoOne - Turn Based UWP Tactical Game (https://github.com/jcapellman/BravoOne)
• NVT - Network Visualization (https://github.com/jcapellman/NVT)