For years, I’ve been bridging the gap between software and business. Today, I do the same, but with a new "engine": Artificial Intelligence.
- AI Orchestration: I don't just prompt; I build systems where AI models act as operators to solve complex business logic.
- Modern Integrations: Moving beyond static APIs to dynamic, autonomous agentic workflows.
- FinTech Implementation: Applying high-performance tools (Rust, Java, Python) to the most demanding sector — trading bots and brokerage systems.
I treat languages as specialized tools for specific integration tasks:
- System Core: Rust & Java (High-performance, reliable backends)
- AI & Data: Python (The glue for AI models and analytics)
- Interfaces: TypeScript (TSX) for modern, reactive frontends
I specialize in autonomous agent systems — creating software that doesn't just process data, but reasons and iterates independently to achieve business goals.
🌌 Current Project: neurosouls
I’m developing an AI-native playground — a survival environment for LLM agents on a spacecraft (think Among Us, but for AI).
- The Goal: Testing how autonomous agents handle social deduction, resource management, and survival logic.
- Tech behind it: High-performance integrations and agentic workflows.
- Telegram: neurosouls — insights on AI, agents, and the future of development.
- Collaboration: Always open to discussing complex integrations, trading systems, and AI-driven automation.