Optimize Existing Python Code - 27/11/2025 00:25 EST

@citijayamala

1. I am an expert in Python, Machine Learning, Data Analysis, R programming, R markdown as well. I have done many projects in Data mining and Machine learning projects. I have handled many data analysis part using R, Python based on the project requirement. I provide codes, writing reports as well. 2. Have done many projects. I read your project and sure I can handle your project. 3. Your project will be delivered on time with high standard 4. Assistance will be provided with number of clarifications until client satisfaction 5. I will provide assistance even after the payment. And will maintain data (content) security.

@webmasters486

Hi there I’ve reviewed your requirements and understand you’re looking for a specialist who can profile your existing Python codebase, isolate the real performance bottlenecks, and deliver measurable improvements without changing core behaviour. My focus will be on running a structured audit using tools like cProfile Py Spy and line profilers to map out slow paths then applying precise optimisations such as vectorising heavy loops with NumPy refactoring inefficient patterns improving memory handling introducing async where appropriate and selectively moving hotspots to Cython only when it brings clear measurable gains. I’ll work directly against your GitHub repo and existing tests so every optimisation remains safe and verifiable. You’ll receive a detailed summary of what was slowing the system down the refactored modules updated profiling reports and clear before after benchmarks on your sample dataset confirming gains in execution speed and memory usage. If you’re aiming for strict runtime and memory targets I can tune the pipeline step by step until the code meets those thresholds with clean maintainable changes. Best regards Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486

@CodeAesthetics

With a strong background in Full-Stack Development and specializations in Django, I bring a holistic and agile perspective to your codebase optimization project. I employ thorough performance audits, testing and documentation process to deliver high-performing systems while maintaining the integrity of its logic - exactly what your project requires. With 5+ years of experience, I've mastered the art of identifying bottlenecks, introducing async techniques and leveraging modern libraries like Py-Spy and NumPy to get every ounce of speed out of Python. One of my core principles is delivering solutions with long-term maintainability. This resonates well with your aim of not only optimizing your codebase but also ensuring that the modifications can be smoothly owned and maintained by your team afterward. My approach will suoerbly achieve that request as I always document each change extensively. As a full-time freelancer, I prioritize communication and project execution alongside offering long-term support and maintenance. This means that even after the completion of this task, I'll be available for future optimization needs or any kind of support you may require on this project. Let's work together to make your code-base perform at its peak!

@dushyant317

I am an expert in all required project skills with 13 years of professional experience. I deliver high-quality, reliable work with attention to detail. My background includes completing similar projects successfully. I can start immediately and meet all deadlines. Looking forward to contributing to your project.

@DrRevathiV25

Hello! I’m a Python developer with strong experience in performance optimisation for production systems—profiling bottlenecks, refactoring hotspots, and making code faster and leaner without changing behaviour. Here’s how I’ll approach your codebase: Profile first, change later: use tools like cProfile / Py-Spy to find the real bottlenecks (CPU, I/O, memory). Targeted optimisations: vectorise heavy loops with NumPy, optimise queries and Django layers, introduce caching, remove redundant work, and, if needed, refactor critical paths into async or Cython. Safe, test-driven changes: rely on your existing tests to guarantee behaviour remains identical. Clear documentation: every optimisation will be commented and explained so future maintenance stays simple. Before/after benchmarks: execution time and memory usage recorded on your sample dataset with a concise summary of gains. I enjoy “squeezing milliseconds” out of Python and have done similar optimisation work for data-heavy and web-backed pipelines. I can start as soon as you share the repo and success criteria. ⏱️ Estimated Time to Complete Roughly 10–15 hours total (spread over 2–3 days), depending on the size and complexity of the codebase.

@prithivirajsd3

Hi, I can help optimise your Python codebase for speed and lower memory usage. I specialise in profiling and improving performance without changing the existing behaviour. What I will do: Run a full performance audit (cProfile, Py-Spy, memory profiling) Identify the real bottlenecks Optimise slow functions, loops, queries, and data structures Use techniques like vectorisation, caching, async, multiprocessing, or Cython (if needed) Provide clear before/after benchmarks Document every change for easy maintenance You already have tests and a sample dataset, which will make the optimisation smooth and reliable. I can start immediately—just share the GitHub repo.

@kirangadhiya541

Hello There, - Your project is exactly the kind of challenge enjoyed: an existing Python code-base that works correctly but needs to run much faster and use less memory under growing data volumes. - The approach will start with a thorough performance audit using tools like cProfile, Py-Spy, and memory profilers to identify real bottlenecks (slow functions, excessive allocations, inefficient I/O) in a way that closely mirrors your production workload.​ Once hotspots are clear, targeted optimisations will be applied: Algorithmic improvements and data-structure tweaks, plus vectorisation with NumPy where it makes sense. Refactoring critical paths for better concurrency (async, multiprocessing, or batching) and, where needed, moving heavy loops into Cython or compiled extensions while preserving existing behaviour and test coverage.​ Let's connect and discuss. Best Regards, Kiran G.

@ZeeshanFayaz26

I’d be a strong fit for this project because I specialize in analyzing and optimizing Python codebases for performance and scalability. I will start by running a thorough performance audit using tools like cProfile, line_profiler, and memory_profiler to identify the real bottlenecks rather than making blind optimizations. Once hotspots are identified, I’ll apply targeted improvements such as NumPy vectorization, algorithm refinement, efficient data structures, concurrency where appropriate, and caching strategies—always keeping the existing behavior intact. If necessary, I can also refactor critical paths for better performance while maintaining code readability and maintainability. I place high importance on measurable results, so I’ll provide clear before-and-after benchmarks on your sample datasets, covering both execution time and memory usage. All changes will be well-documented, tested against your existing suite, and aligned with your execution and memory constraints. I enjoy squeezing maximum performance out of Python systems, and I’m confident I can help make your application faster, leaner, and production-ready.

@covenantmondei

NEW: Hi there, I’m a Python developer who genuinely enjoys making existing systems faster and more efficient. I’ll start by running a proper performance audit to pinpoint the real bottlenecks, then apply targeted, well-documented optimisations. You’ll get clear before-and-after benchmarks on your sample dataset, and your current behaviour and tests will remain fully intact. I have hands-on experience profiling Python code, speeding up heavy loops with NumPy/Numba/Cython, and resolving Django ORM performance issues. I can get started right away after you share GitHub access, a sample dataset, and your success criteria.

@bishoySM

I have a work experience of 2 years in the field, my main stack is fastapi python so this is very familiar, i want to give you the results you need while getting my first gig.

@basuroykuntal

With a deep understanding of Python and over a decade of experience in diverse software solutions, I offer a unique blend of expertise that can effectively address your slowness issue. Although I'm new to Freelancer, my proven track record in providing efficient Website and Mobile Application Developments showcasing my adeptness in various technologies-themedpecially Python - speaks for itself. My results-oriented mindset drives me towards excellence and optimization. To tackle the challenges highlighted in your project description, I employ a comprehensive approach that involves running a thorough performance audit to identify bottlenecks, targeted code optimizations considering your stringent success criteria, and documenting each change to ensure future maintenance is straightforward. Apart from just improving performance, I'll ensure your current code logic remains intact throughout the optimization process by providing measurable before-and-after benchmarks that demonstrate the enhancements achieved. By incorporating profiling tools like cProfile or Py-Spy, vectorising calculations with NumPy, as well as async techniques and Cython refactoring where necessary, I guarantee you the desired positive impact on execution times. It would be an honor for me to contribute these skills and experience to boost your production pipeline. Let's discuss in detail. Regards, Kuntal

@atulp194

I have experience into optimization and make secure of python application and implemented distributed systems