I am a multidisciplinary software engineer, systems designer, and technical architect with over a decade of experience in covert systems development, real-time interactive applications, custom game engines, and AI-powered recovery and management solutions. I'm not here seeking a job — I lead and own multiple tech initiatives — but rather to leave a bold, unapologetic technical footprint of what I've built and what I stand for.

In earlier phases of my career, I developed covert Android surveillance software and remote intelligence-gathering agents — not as malware or unauthorized exploits, but as legally scoped agent systems used for controlled, professional purposes. These systems were capable of:

• Remote control & monitoring
• Live data exfiltration (camera, mic, location, messages, etc.)
• Persistent and stealthy execution
• Tailored UIs for centralized control

This work required intimate knowledge of Android's low-level services, background task scheduling, obfuscation techniques, and remote protocol design.

I designed and built complete backend server control panels, plugin architectures, and anti-cheat modules for games like Half-Life, Counter-Strike, and many others. Key accomplishments:

• Modular plugin systems for real-time gameplay manipulation
• Anti-cheat systems capable of memory scanning and anomaly detection
• Scalable server orchestration tools for game instance deployment
• Integration with player ranking, ban, and statistics services

As founder of TikTakGames, I engineered systems where live viewer interactions become gameplay mechanics. We captured every possible signal in real time:

• 🌟 Gifts
• 💬 Comments
• ❤️ Likes
• 👥 Joins/Leaves
• 🔔 Subscriptions

Technologies used:

• ElectronJS for cross-platform desktop clients
• RabbitMQ, MQTT, and Socket.IO for pub/sub real-time message queuing
• Java and .NET for robust game server-side handling
• Unity, Unreal Engine, and Godot for front-end game experiences
• Lua, C#, and C++ for low-level scripting and engine-side logic

This ecosystem enabled fully synchronized and responsive interactive shows broadcasted at scale.

The Deep Retrieve Project evolved into a distributed AI-powered data recovery framework, especially focused on old CCTV and DVR video storage.

• Raw sector scanning (byte-level analysis) from damaged drives
• Parsing and decoding of H.264/H.265 sequences: SPS, PPS, IDR, and Non-IDR frames
• AI inference to reconstruct corrupted or missing frames
• Scene segmentation to detect faces, timestamps, device tags from within the video frame
• Networked processing with a GPU-based distributed frame pool

Unlike conventional tools that require metadata or timecodes, our system identifies visual markers and regenerates playable scenes even from partial bitstreams.

Recently, I've been working on AI-assisted management systems tailored for AS9100 (Aerospace) and IATF 16949 (Automotive) industrial standards:

• Digitized quality and traceability flows
• CNC communication integrations with industrial tablets
• AI-supported audit preparations and process compliance engines
• Predictive metrics dashboards for executive reporting
• Modular architecture scalable to complex supply chains

Although my involvement in defense tech is limited, these management systems are core to optimizing sensitive production processes.

At a later stage, I explored aspects of electronic signal intelligence:

• RF signal sniffing, decoding, and fingerprinting
• Protocol spoofing and simulated signal broadcasting
• Basic jammer testing and analysis
• Passive signal logging tools for 433 MHz and other civilian frequencies

These experiments were conducted both for curiosity and strategic insight, particularly where signal resilience and spoof detection were critical.

C, C++, C#, Java, JavaScript, TypeScript, Python, Kotlin, Dart, PHP, Ruby, Perl, Bash, MATLAB

React, Angular, AngularJS, Vue.js, Svelte, Next.js, Nuxt.js, Gatsby, Ionic, Quasar, React Native, Flutter, Xamarin, NativeScript, Apache Cordova

Node.js, Express, Django, Flask, Spring, Laravel, Symfony, Ruby on Rails, CodeIgniter, .NET, PHP, GraphQL, REST

HTML5, CSS3, SASS, SCSS, Tailwind CSS, Bulma, Materialize, Vuetify

MySQL, PostgreSQL, SQLite, MSSQL, Oracle, MariaDB, MongoDB, CockroachDB, Redis, Firebase, RabbitMQ, Kafka, Elasticsearch

Docker, Kubernetes, AWS, Heroku, Linux, NGINX, Git, Webpack, Babel, Puppeteer, Zapier

Postman, Selenium, Karma, Grafana

TensorFlow, PyTorch, OpenCV, Pandas

Chart.js, D3.js, CanvasJS

Unity, Unreal Engine, Blender

Adobe Illustrator, Adobe Photoshop

Arduino

• 📹 Byte-Level Frame Scanner — reconstructs partial video frames from raw drive images
• 🔍 Live Debug Overlay — attachable to Unity/Unreal games for packet/event inspection
• 🔐 Anti-Cheat Kernel Extensions — pattern matching & process watchdogs
• 📟 Signal Emulator — transmit/receive scripts for 433 MHz device testing
• 🧬 Identity Hashing & Facial Signature Generator for video forensics

"If you can imagine it, you can simulate it. If you can simulate it, you can control it."

Whether it's games, surveillance systems, or signal intercepts, my work is about understanding the system deeply enough to manipulate or recreate it. Every tool I build either tells a story or reveals one that was never meant to be told.

This profile is not a resume. It's a digital monument to years of obsession, sleepless debugging nights, creative risks, and systems that work in silence. If you're still reading, welcome to the rabbit hole.