Contact person: Business Client

Phone:Show

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Location: New York, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Our core product relies on a heavy-duty algorithm that lives in the Python backend. Right now that routine is the show-stopper: it slows every request to a crawl and no one on the team has been able to squeeze meaningful performance out of it. The logic itself is correct, but the execution time is unacceptable for production.

What I need is a senior-level engineer who can look at profiled traces, untangle the hotspots, and redesign or refactor the algorithm so it runs at least several times faster while keeping the same results. You should be fully comfortable with advanced Python optimisation techniques—NumPy/scipy vectorisation, Cython or compiled extensions, async patterns, even distributed processing if it turns out to be the only viable path.

Here’s how we’ll measure success:
• Optimised, well-documented Python code dropped into the existing backend repository
• Automated tests proving the output remains identical to the current implementation
• A short report (or inline doc) summarising the changes, the rationale, and before/after performance metrics captured with the provided dataset

I’ll supply the full codebase, test data, and the profiling reports as soon as an NDA is in place. If you can crack this, you’ll unblock the entire product roadmap—looking forward to seeing what you can do." (client-provided description)