Zayne Flynn
AI Engineer & Independent Researcher
Tempe,AZ
Summary
Independent AI researcher with expertise in machine learning, deep learning, and algorithm design. Passionate about advancing AI cognition, with a strong foundation in AI ethics, problem-solving, and experimental methodologies. Rapid learner with an ability to quickly adapt to new research techniques, frameworks, and AI paradigms. Skilled in Python, PyTorch, TensorFlow, and evolutionary algorithms, with a focus on developing AI models that challenge conventional approaches. Eager to contribute innovative solutions in AI cognition, NLP, and neural network architectures while refining research and publication skills in an academic or industry setting.
Overview
3
3
years of professional experience
3
3
years of post-secondary education
1
1
Language
Work History
Independent Researcher
Self Employed
Remote , Remote
11.2024 - Current
- Conducting independent research in AI cognition, deep learning, and algorithm design, focusing on unconventional AI development approaches.
- Developing novel AI architectures, including Large Cognition Engine (LCE) and Persistent AI Identity Framework, to push beyond traditional LLM constraints.
- Implementing machine learning models with evolutionary algorithms and experimental frameworks to improve AI reasoning.
- Exploring AI ethics and self-evolving digital cognition, focusing on memory persistence, dynamic learning, and neural adaptability.
- Engaging in technical writing and documentation, preparing for research publications and industry contributions.
Help Desk Technician I
Brake Masters
Layton, Utah
10.2023 - 08.2024
- Delivered first-line IT support, diagnosing and resolving technical issues efficiently, improving system uptime and reliability.
- Troubleshot Windows 10 systems, including software updates and OS flashing, ensuring seamless functionality—a skill applicable to AI model deployment and system optimization.
- Managed incident tracking using ServiceNow, escalating critical issues for resolution—demonstrating analytical and structured problem-solving methods used in data-driven AI workflows.
- Collaborated with cross-functional teams to ensure smooth operation of essential systems, reflecting experience in team-based AI research and deployment environments.
Youth Mentor
Youth Health Associates
Glendale, Arizona
03.2022 - 09.2023
- Mentored and guided youth in goal-setting, critical thinking, and problem-solving, fostering structured development approaches applicable to AI and research methodologies.
- Applied conflict resolution and communication strategies to improve engagement and collaboration, reflecting skills in team-based research and ethical AI discussions.
- Maintained accurate progress documentation and compliance tracking, ensuring adherence to structured reporting, a skill transferable to AI model evaluation and experimental analysis.
Education
Bachelor of Science - Cybersecurity
Southern New Hampshire University
Remote 05.2022 - Current
Skills
Python
Linux
Windows 10
MySQL
Active Directory
Scientific writing
Research design
Qualitative research
Ethics compliance
Problem-solving
undefinedPublications
Capybara Ransomware Simulator: An Educational Ransomware Simulation
Self-Directed Educational Cybersecurity Project
https://github.com/Ryker53/Capybara-Ransomware-Simulator.git
- Authored a technical write-up on designing an educational ransomware simulator.
- Developed a GUI lock screen using Tkinter, simulating a ransomware attack by blocking user interaction until "payment" is made.
- Implemented AES encryption via Python’s cryptography library to securely encrypt user files.
- Utilized multithreading to efficiently run encryption while maintaining GUI lock functionality.
- Designed a countdown timer for ransom deadlines with automatic termination upon expiration.
- Practiced ethical cybersecurity principles, ensuring all activities were simulated within a controlled learning environment.
Personal Information
Work Permit: Authorized to work in the US for any employer
Accomplishments
- Engineered an experimental AI cognition framework, Argos AI, exploring self-generated goals, memory retention, and evolving AI cognition.
- Developed and implemented Large Cognition Engine (LCE) to enhance AI reasoning beyond traditional LLMs.
- Resolved computational inefficiencies in AI memory retrieval, optimizing vector-based memory recall for real-time AI cognition.
- Published an educational cybersecurity project (Capybara Ransomware Simulator), demonstrating file encryption, ethical hacking principles, and GUI-based simulation techniques.
- Self-directed independent AI research, iterating on AI ethics, persistent memory, and autonomous learning methodologies.
Timeline
Independent Researcher
Self Employed
11.2024 - Current
Help Desk Technician I
Brake Masters
10.2023 - 08.2024
Bachelor of Science - Cybersecurity
Southern New Hampshire University
05.2022 - Current
Youth Mentor
Youth Health Associates
03.2022 - 09.2023
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