Building fast, breaking things, learning in public.
Breaking into tech from a non-traditional background by building real projects that solve actual problems. Currently focused on AI agents, crypto trading tools, and automation systems.
Learning through doing: React Native apps, Python automation, blockchain integration, and system design. Every project is a lesson, every failure is data.
View Resume →Real-time Twitter monitoring system with advanced filtering, automated trading signals, and sentiment analysis. Built for crypto traders who need edge.
Autonomous GitHub agent that monitors repositories, triages issues based on strategy docs, and executes automated fixes. Building in public.
React Native app for fast mobile crypto trading and portfolio management. Clean UI, real-time data, smooth animations.
Collection of Python scripts for crypto automation: bot monitoring, signal tracking, position management, and profit calculation.
No CS degree. No bootcamp. Just building things and learning from what breaks. Every project teaches something new: API design, system architecture, user experience, deployment, monitoring.
The goal isn't perfection—it's shipping real products that solve real problems. Code quality improves with each iteration. System design patterns emerge from experience. Skills compound.
Public accountability forces better decisions. Documentation becomes a feature, not an afterthought. User feedback shapes development. Transparency builds trust.
Every commit, every issue, every decision is visible. This creates pressure to maintain standards and follow through on commitments. It's uncomfortable. It works.
Currently Learning: Advanced async patterns, distributed systems, AI agent frameworks, blockchain development, real-time data processing
Next Up: Rust for performance-critical components, more complex system architecture patterns, advanced trading strategies, machine learning for signal generation
