Hello world!
KAIZEN - My most exceptional work is the newest thing that I’m working on, because I’m always trying to get better, be better, and am better.
This is a relatively fresh vault that I will be collecting my occasional notes of my various learning material and research that I invest my free time in across various topics - usually in malware and how to make/fine-tune my own AI models based on open-source models.
Projects
A.I. Research & LLM Fine-tuning Jan 2025 – Present
• Built training datasets for cybersecurity models that detect obfuscated malware and unsafe code. • Fine-tuned open-source LLMs like DeepSeek and Qwen3-Coder using QLoRA, Google Colab, and Unsloth. • Deployed local models with Ollama for private, offline analysis.
Adversarial AI Detection Tool May 2025 – Present
• Built a tool in Flask with Redis and Ray to spot prompt injections and abnormal behavior in GPT-based apps. • Runs checks in parallel to scan a large number of prompts quickly. • Designed to reveal how large language models fail and make them more reliable.
Hobby / JavaScript Frameworks 2023 – Present
• Built small projects using frameworks like React, Svelte, and Vue. • Used them to test ideas, learn new patterns, and make faster, cleaner web apps.
HackerOne Security Research 2022 – 2024
• Found and reported vulnerabilities in web apps and cloud systems through responsible disclosure. • Worked directly with security teams to improve code and infrastructure security.
Current Research:
2025
Artificial Intelligence (AI)
- PEFT (Parameter-Efficient Fine-Tuning) open-source hugging face models
Solo-founder startups/company
- akinsec.com - Automated SOC as a Service | https://akinsec.com
- solarsystems.tech - selling Custom PCs | https://solarsytems.tech
2024
- understanding mobile security → https://github.com/MobSF/Mobile-Security-Framework-MobSF
- additionally → https://github.com/ashishb/osx-and-ios-security-awesome
- case studies on previous → https://github.com/dfalt0/malware1_casestudy
iOS security
- Learning C, C++, Rust, & Go via Advent Of Code - https://adventofcode.com/
Experience:
- 4 months of building a startup
- 1+ of freelance consulting as a Cybersecurity Specialist
- 1.5 of Systems Engineering in devops, networking, and IT
- 2.5 years of Fullstack Dev + Undergrad Research Assistant - PHP Laravel, MySQL, MATLAB, Python, JavaScript, uBlox GPS/GNSS
- 2 years as IT Admin for Police Dept.
”Projects I’m most proud of”
- AkinSec - my webapp startup that I’m building myself (solo founder) - https://akinsec.com
Cybersecurity AI startup made in Next.js, TypeScript, Tailwind, Vercel, Base44
- Midwest American Transportation Center (MATC) Smart Barrier - Autonomous Vehicle Research with GPS/GNSS
PhD team research project that focused on developing algorithms for improving lane correction based on the curvature of the current road that a vehicle is occupying at the time of measurement/capture.
My role was to be the team programmer and GPS researcher - I parsed and refactored MATLAB code into Python to be able to work with the algorithms and the GPS/GNSS modules to measure the realtime data of a moving vehicle, then send that data to a JavaScript, ArcGIS-based, Google Maps-like interface to be able to see what and how the algorithm would suggest the vehicle to correct its lane position to be center on the road.
TL;DR - Built a vehicle-tracking webapp using JavaScript, GPS, and ArcGIS REST API for real-time visualization.
Education
- Bachelor’s of Science in Multidisciplinary Studies
- Primary: Cybersecurity
- Secondary: Information Technology, Information Systems Quantitative Analysis
Certifications
- Google Cybersecurity Certificate
- infoblox - DNS for Security Professionals
- VMware - Network Security 2022
- Terraform 003 (in progress)
- CEH - Certified Ethical Hacker (in progress)
- CISSP (in progress)
- AWS-500 (in progress)
- Microsoft Certified MSCE (in progress)