Fernando B.

High-Performance Quant Developer | Python-to-Rust Migration & Hybrid Systems I build autonomous financial systems where speed meets intelligence. I specialize in developing high-frequency trading (HFT) infrastructure and migrating performance-critical Python applications to Rust to achieve massive gains in execution speed and reliability. My core strength is architecting Hybrid Systems: I use Python for rapid AI model prototyping and Rust for the high-performance execution server. By leveraging advanced APIs and bindings (like PyO3 and gRPC), I create seamless integrations that offer the best of both worlds: the flexibility of AI and the raw speed of bare-metal code. What I bring to your project: Python to Rust Migration: I port bottlenecked Python code to Rust, delivering up to 100x faster execution and eliminating GIL constraints. Hybrid AI Servers: Architecting advanced systems that run complex Autonomous Agents where the heavy lifting and data ingestion are handled by Rust servers, exposed via high-speed APIs. Autonomous Trading Agents: Development of self-evolving systems at Gptrader that adapt to market regimes in real-time. High-Concurrency Infrastructure: Building mission-critical engines using Rust (Tokio/Actix) for ultra-low latency and asynchronous data processing. Custom Backtesting Engines: High-fidelity Rust simulations capable of processing years of tick data in seconds. My Tech Stack: Languages: Rust (Advanced: PyO3, Tokio, Actix, Serde) & Python (Asyncio, PyTorch, Pandas). Architecture: Hybrid APIs, gRPC, WebSockets, Microservices. Database: PostgreSQL, TimescaleDB, Redis. If your current system is struggling with latency or memory limits, I can re-engineer your infrastructure to give you a definitive competitive edge. Let’s discuss how to take your trading performance to the next level.