I will convert your slow python or node API into a fast rust service


About this gig
Your Python or Node service works but it's slow, memory-hungry, or struggling under load. I rewrite it in Rust: same behavior, same API contract, a fraction of the resource usage.
Rust gives C-level performance with compile-time memory safety no GC pauses, no null-reference crashes, typically 5-10x lower CPU/RAM than Python or Node.
I take your Python (Flask/FastAPI/Django) or Node.js (Express/Nest) backend and rewrite it in Rust (Axum/Actix-web) same API contract, same logic, same deployment shape.
What you get:
- Working Rust service passing your existing tests
- Before/after benchmark (req/s, memory, p95 latency)
- Clean, idiomatic Rust with proper error handling
- Basic documentation for your team
Best for: a single bottleneck endpoint, background workers, CLI tools, or CPU-bound services hitting Python's GIL. Not ideal for I/O-bound apps that are already fast, or a full undocumented monolith in one shot let's scope that in pieces.
Check my portfolio rust-job-queue shows a full production-style Rust backend, so you can see the code quality before you order.
Get to know Septian Fariz F
Rust Expert
- FromIndonesia
- Member sinceJul 2016
- Avg. response time1 hour
- Last delivery6 days
Languages
English, Indonesian
My Portfolio
FAQ
Do I need to give you my full codebase?
No — only the part we're migrating. Point me to the relevant files/endpoints, or give read access to a repo.
Will the Rust version be a drop-in replacement?
For Standard and Premium, yes — same API contract, same responses. For Basic, we'll agree on scope first.
What if my code doesn't have tests?
I'll write minimal tests against your current behavior first, so we both know the rewrite matches before you swap it in.
Can you review my code instead of doing a full rewrite?
Yes — message me and I can scope that as a custom offer, or check my "Code Review" extra.
What info do you need before I order?
A repo link or source files, which endpoint/function is the priority, your target deployment (Docker, bare VM, serverless), and any request/response examples or test cases that must keep working
Do you handle large, undocumented codebases?
Not in one shot — for big monoliths, let's scope it into smaller pieces via a custom offer instead of ordering blind.

