Bridging the gap between AI-assisted development and core computer science fundamentals. I am a self-taught developer focused on Python architecture, headless automation, and application security.. I learn by reverse-engineering software, optimizing complex systems, and building desktop tools from the ground up to solve my own bottlenecks..
- Flow NextGen Extension (Active): Acting as Systems Architect to design and direct the build of a commercial task-queue and automation browser extension.. Managing multi-module context and system design (Vite, React, TypeScript) using generative models as high-level compilers.. this one can bring me passive money so I paused other things.
- H.I.V.E NextGen (Paused): Custom PySide6 NLE video editor development is temporarily paused to prioritize browser automation execution and commercial launch.
- Academic Fundamentals: Completing my 12th NIOS (Computer Science focus) while actively studying system architecture and core software engineering principles..
Flow NextGen: Headless Task Automation Engine & Extension (Jun–Jul 2026)
- Multi-Context Architecture: Designed and built an MV3 Chrome Extension in React and TypeScript, using a structured communication pipeline to share data and exchange messages between user interface, background controllers, and content scripts..
- Protocol Analysis & Interception: Reverse-engineered target application network telemetry to programmatically harvest active session headers and track asynchronous task states natively.. I got it all from network tab and understanding what its doing..
- Kernel-Level Input Emulation: Implemented a Chrome DevTools Protocol (
chrome.debugger) client to dispatch native hardware keyboard scan codes and mouse pointer sequences.. It bypasses React synthetic event blocks and anti-bot filters where AI thinking was too dum.. - Securing Telemetry & Quota States: Applied web application security testing principles to audit client-side network requests.. I found a vulnerability where database quota limits could be bypassed by sending database update commands from the console, so I patched Supabase's access policies to keep our database secure.. First time using these skills in my real app..
Autonomous Media Pipeline & H.A.V.E. Pro (Jan–May 2026)
- Impact: Replaced a 20+ hours manual video production workflow with a Python-based pipeline, reducing human input strictly to curation and quality control..
- Network Mocking: Built a local Python mock-server to intercept a DOM-automator's API.. Ensures a stable, rate-limit-free bulk image-generation workflow without paying for expensive tiers.
- Data-to-Render Engine: Engineered a PySide6 visual bridge (ExpressoSort) to map raw assets to script lines via CSV.. This feeds H.A.V.E. Pro—a custom matrix using local Whisper NLP for audio-syncing and multi-threaded FFmpeg for final assembly..
- ➡️ Read the full Systems Architecture Deep-Dive
Daily Selfie (v1 & v2) (2025)
- v1: Built initial prototype using standard Tkinter..
- v2: Re-architected in PySide6.. Developed a custom theming engine that parses JSON exports from Google's Material Theme Builder to dynamically apply comprehensive Material Design themes across the desktop application.. It utilizes dark modes with juicy orange and black/dark gray, or coffee themes..
Reverse Engineering & Protocol Analysis
- Deconstructed compiled software to understand execution flow, memory management, and licensing protocols..
- Studied how application restrictions are built and bypassed to build a strong foundational understanding of application security.. This helped me a lot in Phase 4 when deconstructing other extensions..
OS Deployment & Web Security
- Developed a unified bash script to automate the complex installation, initialization, and status monitoring of Waydroid (Android container layer on Linux)..
- Conducted self-directed studies into Web Application Security, utilizing tools like Burp Suite to understand OWASP Top 10 vulnerabilities..
- Extensive deep-dives into Linux environments, package management, and system customization..
Early Software Development
- Desktop Automation: Built a custom Python voice assistant integrating
pyautoguifor desktop GUI automation and OpenCV for facial recognition.. - Android Chat Application: Developed a fully functional chat application featuring live voice/video calls and message reactions, utilizing Java and Firebase.. This was long ago when I started my developer journey..
- Languages: Python, TypeScript (Orchestrated), Bash, Java (Historical)
- Frameworks & Libraries: React, PySide6, Zustand, PyAV, OpenCV, FFmpeg
- Architecture: Chrome Extension MV3, CDP (Chrome DevTools Protocol), Network Protocol Interception, GUI Automation, Reverse Engineering
- Environments: Windows, Linux

