Machine learning Python Full-Stack Debug & Optimize: Need someone to tell me what's missing and how to make it fully work

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@koolvishruth

Hi, I am Machine learning engineer with 7 years of experience and I will debug and give back tge code which restores expected behaviour.I have worked here on lots of machine learning projects. Let’s connect

@denisSolution

Hi, I understand you need a systematic cleanup of your full-stack Python app—identifying why features break and speed drops, without just slapping on patches. I recently debugged a similar ML-heavy SaaS where inconsistent API responses and slow LLM inference came from unoptimized model pipelines and missing async coordination. We fixed race conditions in the worker queue and added lightweight profiling to cut response times by 60%. I'd approach this using targeted profiling and targeted refactoring to avoid sweeping rewrites. The biggest improvement will come from isolating the slowest endpoints and tightening the data flow between the frontend and backend. I’ll keep changes small, well-documented, and covered by tests so you can see exactly what changed and why. The result should be a stable system that’s easier to maintain and feels responsive again. If we’re aligned, I can start right now. Thanks, Denis.

@mobimubasir

Hello there, I can thoroughly audit your Python full-stack codebase, identify the causes of broken features and slow response times, and implement clean, reliable fixes. I will use profiling, targeted debugging, sensible refactoring, and unit or integration tests while maintaining clear comments and traceable commit messages. You will receive updated code, a concise issue-resolution report, and before-and-after performance benchmarks demonstrating the improvements.

@GdevDataSceince

Hi there,I am pleased to present my proposal for your machine learning project, bringing a rigorous, data-driven approach and a commitment to delivering measurable impact. With expertise in Python, TensorFlow, and Scikit-learn, I design robust pipelines—from advanced data preprocessing and feature engineering to model architecture, training, and fine-tuning. I focus on interpretability, scalability, and performance optimization to ensure real-world applicability. My workflow emphasizes precision, continuous evaluation, and clear communication. I am dedicated to transforming complex data into intelligent, high-value solutions tailored to your objectives. https://www.freelancer.com/u/GdevDataSceince Let's discuss this further via chat, and I'll start your project right now. Thanks Gdev

@ska234

Hi. To restore stability and speed, I’ll start with a repo-wide review of the Python stack, trace the failing paths, and profile the slow endpoints or workflows with cProfile, line_profiler, or built-in tracing. I’ll isolate the missing pieces, fix the root cause in code, and refactor only where it improves reliability or performance. I’ll also add targeted unit or integration tests around the broken behavior so the fixes stay solid after deployment. As a Senior Software Engineer, I have mastered Python, debugging, profiling, refactoring, and test-driven fixes, and have strong experience in full-stack codebase recovery and performance optimization. I work cleanly with readable code, sensible commit history, and focused updates that make future maintenance easier. I am sure I can deliver high-quality results within 5 days. Let’s get in touch and discuss more. Thanks.

@toriquldev123

Hello dear, Greetings from Md. Toriqul Islam! We are a dedicated Web Design & Development team with over 10+ years of industry experience, I’m Engineer Toriqul Islam, an experienced Computer Science & Engineering graduate from (RUET). We specialize in building modern, scalable, and user-friendly digital solutions tailored to business needs. What I Offer We help businesses grow online by delivering: • Clean, modern, and responsive website designs • High-performance and scalable web applications • User-focused UI/UX for better engagement and conversion My Technical Expertise We work across a wide range of technologies, including: • Frontend: HTML5, CSS3, Bootstrap, JavaScript, jQuery, Angular, React • Backend: Node.js, PHP, Laravel, .NET, CodeIgniter, Ruby on Rails, Python • CMS & Platforms: WordPress • Database: MySQL, MongoDB • Mobile Development: React Native, Flutter, and more Why Choose me? ✔️ Clean, optimized, and well-documented code ✔️ Reusable and scalable components ✔️ On-time delivery with complete requirement fulfillment We are confident in our ability to turn your ideas into a powerful digital product. Let’s discuss your project and make it a success. Looking forward to working with you! Best Regards, Md. Toriqul Islam

@kabirchy

Hi there, I’ll dive into your full-stack Python application to identify what’s missing or misconfigured—especially around the ML components and backend/frontend integrations that are causing inconsistent behavior and slowdowns. I’ll trace performance bottlenecks (e.g., unoptimized model inference, blocking I/O, inefficient data pipelines), check for missing dependencies, incorrect API contracts, state management issues, or improper error handling across layers. I’ll also verify if ML models are loaded correctly, cached where appropriate, and served efficiently (e.g., via FastAPI/Flask with proper async usage or multiprocessing). You’ll get a clear report listing each issue found, why it’s happening, and exactly how to fix it—including code snippets, config updates, and architecture tweaks. No vague suggestions—just actionable, tested fixes. Best Regards, Khorshed Alam, RS Software

@mojjammil

Hello, I understand you're looking for someone to diagnose and stabilize an existing Python application rather than rebuild it. The priority is identifying the real causes of inconsistent behavior and performance regressions, then applying targeted fixes backed by profiling, testing, and measurable improvements. I’d start by reviewing the application architecture, reproducing the reported issues, and profiling the slowest workflows before making any changes. Once the root causes are confirmed, I’d implement focused fixes, add regression tests, and benchmark the application to verify both functionality and performance have improved. One key challenge will be separating symptoms from root causes, especially if multiple issues stem from shared components or recent code changes. Which parts of the application are currently causing the biggest problems (API endpoints, background jobs, database queries, frontend interactions, or ML-related components)? Do you have a reproducible environment with sample data and steps that consistently trigger the performance issues and failing features? If we're aligned, I can outline the implementation phases before kickoff. Best regards Mojjammil

@SBITServices

Hi, I have over 5+ years of experience in both frontend and backend development. I will do the specified tasks. Key Areas of Expertise: a) Full-Stack Development: Proficient in both frontend and backend technologies Frontend: Next, Js, ReactJS, Bootstrap, JavaScript, jQuery Backend: Laravel, CodeIgniter, Node.js b) API Integration: Experienced in integrating and working with APIs to enhance application functionality. c) Microservices: Skilled in developing and integrating microservices for scalable and efficient solutions. d) Database Management: Competent in managing databases with Postgresql, MySQL, MongoDB, and Oracle. d) Server Handling: Adept at handling server environments such as AWS, Google Cloud, VPS, Apache, and Nginx. Lets connect in chat so that We discuss further. With Regards, Sai

@MZITSERVICES

Hi there, I am A.R.M. MASUD, with a strong Data Science background. As a Python developer, I have extensive experience building robust, scalable, and efficient solutions that address various business needs. I understand the importance of delivering high-quality, well-architected code, and I am committed to working closely with you to ensure the success of this project. I implement core functionality using Python, utilizing relevant libraries and frameworks such as Pandas, NumPy, GUI, SciPy, Matplotlib, Seaborn, Plotly, Scikit-learn, TensorFlow, Keras, PyTorch, spaCy, Flask, Django, FastAPI, OpenCV, and Jupyter. I am a professional responsible for extracting actionable insights and knowledge from large volumes of data through Machine Learning models, including CNNs, RNNs, LSTMs, GANs, Transformers, FNNs, ANNs, and DNNs. I conduct comprehensive unit, integration, and performance testing to ensure the solution is error-free and optimized. https://www.freelancer.com/u/MZITSERVICES I appreciate the opportunity to submit this proposal and am excited about the possibility of working with you to bring your project to life. Thanks A.R.M MASUD

@longngoc2307

Hello, I've debugged and optimized Python-based applications by identifying root causes, fixing inconsistent behavior, and improving performance through profiling and targeted refactoring. I understand you need someone to review the entire codebase, identify what's missing, restore broken functionality, and provide measurable performance improvements rather than quick patches. I'll profile the application to locate bottlenecks, trace failing workflows, review the architecture, and implement maintainable fixes with clear commit history. I'll also add focused unit or integration tests, benchmark the improvements before and after, and provide a concise report explaining each issue, its root cause, and the solution so future maintenance is easier. I'll start immediately and deliver a stable, well-documented codebase with verified performance improvements. Thank you for your time and consideration.

@khaledabutalb

Hello, I'd be happy to help you get your application back to a stable and fast state. I have experience debugging full-stack applications, tracking down difficult issues, and improving performance through careful code analysis rather than quick fixes. My approach will be: * Review the entire codebase and understand the current architecture. * Reproduce the reported issues and identify their root causes. * Profile the application to locate performance bottlenecks. * Implement clean, maintainable fixes and refactor where appropriate. * Add unit/integration tests to ensure the fixes remain stable. * Provide clear commit messages and a concise report explaining every issue found, the solution implemented, and before/after performance results. I believe in writing readable, well-documented code so future maintenance is straightforward. I'll also keep you updated throughout the process and discuss any significant architectural findings before making major changes. A few quick questions before we begin: * Which Python framework is the project built on (Django, Flask, FastAPI, or another)? * What database and frontend framework are you using? * Are there any specific features or endpoints that consistently show the biggest performance problems? I'm available to start immediately and look forward to helping restore your application's functionality and performance. Best regards, Khaled

@nemanjam61

Hi, Nemanja here from Serbia. Making a Python full-stack application fully reliable only works if the inconsistent features and slow response times are traced back to their actual root causes. I noticed you mentioned “performance benchmarks before vs. after” - that usually means quick fixes are not enough, so I'd reproduce the failures, profile the slow paths, and verify the improvements with focused tests. I can debug the Python/ML workflow, apply targeted fixes, refactor only where useful, and provide the report and measurable before/after results. Quick question: which failing feature or slow workflow should I reproduce first from the repository? Looking forward to hearing from you.

@miguelcen64

Hi, I can review your Python full-stack application end-to-end, identify what’s failing, and implement fixes that restore both reliability and speed. I’m comfortable working through inconsistent behavior, profiling slow paths, tracing root causes, and making targeted refactors without disrupting the broader architecture. I’ll approach this with a structured code audit, performance profiling, focused debugging, and test-backed fixes so every change is traceable. You’ll receive clear commit history, before/after benchmarks, a concise issue-resolution report, and a practical set of unit or integration tests to help prevent regressions. Your emphasis on careful review, readable Python, and measurable optimisation matches how I work. I’m ready to dig into the repository and start systematically tightening up the problem areas. Best, Miguel

@durgesh8527

I am SUNIL, a full-stack developer with years of experience in Python. Having built and maintained scalable, high-performance applications throughout my career, I am confident that I can diagnose the issues with your codebase and implement the necessary fixes to restore smooth functionality. My Python expertise spans web development using Django and Flask, building APIs, as well as implementing efficient database management systems on various platforms like PostgreSQL and MongoDB, which are skills crucial to solving your performance and functional issues. One of my key strengths is my proficiency in debugging complex systems efficiently by utilizing appropriate profiling tools and honing in on performance bottlenecks. I highly prioritize clean architectures in all my projects, ensuring maintainability in the long run. Though a diligent full-stack coder, I do believe speed should never come at the cost of quality, so you can rely on me for careful code review and refactoring - no rushed or cosmetic solutions. Throughout the project's lifecycle, I vow to provide crystal clear communication, traceable commit messages, updated codebase complete with meaningful comments that will enhance maintainability. My dedication extends to conducting detailed performance benchmarking before and after optimizations, and providing unit tests to prove the success of all implemented fixes. So let's work together on this project and get your application running at its best!

@FreeLancers360

As an experienced full-stack developer with a speciality in debugging and software optimization, I genuinely believe I can provide immense value to your project. My proficiency in multiple languages including Python and my familiarity with machine learning concepts places me in an advantageous position to unpack the root causes behind your application's diminished functionality and slower response times. With access to your full codebase, I will meticulously comb through each line of code, leverage advanced debugging techniques such as utilization of profiling tools, and run strategic tests to identify where exactly things went wrong and why. Alongside pinpointing these issues, I'm committed to providing well-commented, modular and readable code that not only restores full functionality but also optimizes the performance benchmarks. I understand the importance of clear commit messages for traceability purposes, especially when we're working on a comprehensive refactoring exercise like this one. Through the years I've built robust web applications, customized software solutions for various business models, integrated AI-powered functionalities, worked on scalable backend systems--all necessitating clean coding practices and deep comprehension of full-stack workflows. Keeping all these strengths into perspective, I am confident that choosing me would certainly yield a prompt win for both parties involved. Let's make sure your project works seamlessly!

@KatrinaQ

Hi, with 20+ years of Python and full-stack experience—including ML systems—I'll review your repository, run profiling tools on the slowest endpoints, and systematically debug inconsistencies in the ML pipeline, data processing, or API layer. I'll identify root causes (memory leaks, inefficient queries, model loading delays, race conditions) and implement targeted fixes, then add lightweight profiling hooks to catch regressions early. For recoverable issues like missing batching or unoptimized vector operations, I'll refactor the code without rewriting the architecture, ensuring changes are traceable via clear commits. Performance benchmarks will compare baseline metrics (latency, throughput, resource usage) against optimized runs, and I'll include a minimal test suite to validate core functionality. I can start today.

@AndrewJSMAN

I’ve debugged and optimized large-scale Python full-stack ML systems before, so this is straightforward. I’ll start with a static analysis pass using `py-spy` and `cProfile` to map hotspots and silent failures, then drill into API endpoints, database queries, and ML inference pipelines. After root-cause isolation, I’ll patch race conditions in async workers, rewrite N+1 ORM calls with bulk operations, and cache repeated model predictions with `redis-py` at 100ms TTL. Performance regressions will be quantified with `locust` benchmarks pre/post-fix, and integrity verified with existing pytest suites plus new integration tests for edge cases. I can start immediately. Thanks, Andrii.