High-performance Rust systems, quant & Python (PyO3) tooling by Stephen via ReplitHigh-performance Rust systems, quant & Python (PyO3) tooling by Stephen via Replit
High-performance Rust systems, quant & Python (PyO3) toolingStephen via Replit
Cover image for High-performance Rust systems, quant & Python (PyO3) tooling
I build performance-critical systems in Rust: backend services, algorithmic and quantitative engines, and native and CLI tooling. My work includes a multi-crate genetic-programming trading platform, a from-scratch concurrent in-memory cache server, game-theoretic and deep-learning engines, and a published open-source Rust CLI on crates.io.
I also bridge Rust and Python with PyO3, giving you Rust-level speed behind a clean
Python API with full type hints. That is ideal for accelerating data pipelines (Polars, NumPy) without leaving your Python stack. I work architecture-first (clean and hexagonal layering, domain-split Cargo workspaces), with strict linting, unsafe-denied code, real test coverage, and thorough documentation. If correctness and speed are the point, this is what I do with rigor.
What's included
- Rust services and APIs (Axum, Tokio)
- Algorithmic and quantitative systems
- Rust-and-Python (PyO3) extensions and Polars plugins
- Concurrency and performance optimization
- CLI tools and native utilities
- WASM and Dioxus front-ends where useful
Ideal for: teams who need a piece that must be fast, correct, and memory-tight, or who want to accelerate a Python codebase with native Rust.
Contact for pricing
Duration1 week
Tags
Performance Optimization
PostgreSQL
Python
Rust
WebAssembly
API Development
Backend Engineer
Algorithms
Systems Programming
Service provided by
Stephen via Replit proNairobi, Kenya
$1k+
Earned
14
Paid projects
4.94
Rating
8
Followers
High-performance Rust systems, quant & Python (PyO3) toolingStephen via Replit
Contact for pricing
Duration1 week
Tags
Performance Optimization
PostgreSQL
Python
Rust
WebAssembly
API Development
Backend Engineer
Algorithms
Systems Programming
Cover image for High-performance Rust systems, quant & Python (PyO3) tooling
I build performance-critical systems in Rust: backend services, algorithmic and quantitative engines, and native and CLI tooling. My work includes a multi-crate genetic-programming trading platform, a from-scratch concurrent in-memory cache server, game-theoretic and deep-learning engines, and a published open-source Rust CLI on crates.io.
I also bridge Rust and Python with PyO3, giving you Rust-level speed behind a clean
Python API with full type hints. That is ideal for accelerating data pipelines (Polars, NumPy) without leaving your Python stack. I work architecture-first (clean and hexagonal layering, domain-split Cargo workspaces), with strict linting, unsafe-denied code, real test coverage, and thorough documentation. If correctness and speed are the point, this is what I do with rigor.
What's included
- Rust services and APIs (Axum, Tokio)
- Algorithmic and quantitative systems
- Rust-and-Python (PyO3) extensions and Polars plugins
- Concurrency and performance optimization
- CLI tools and native utilities
- WASM and Dioxus front-ends where useful
Ideal for: teams who need a piece that must be fast, correct, and memory-tight, or who want to accelerate a Python codebase with native Rust.
Contact for pricing