Python SaaS Bug-Fix & Optimisation

@softsolution2000

I have extensive experience in Python, Flask, and API integration, with a strong background in system optimization. I understand your need for bug fixes, performance improvements, and enhancing CV analysis accuracy for your AI-based recruitment platform. I am confident in my ability to deliver the required tasks effectively. I am eager to discuss the project scope further and adjust the budget accordingly. Let's ensure your system is stable and user-friendly. I look forward to the opportunity to work on this project.

@Herculesz

Hi I can help stabilize and improve your AI recruitment platform with a strong focus on bug fixing, performance optimization, and improving CV analysis accuracy, especially for Arabic content. The main challenge here is that multilingual CV parsing (Arabic/English) often breaks due to inconsistent formatting, encoding issues, and weak NLP pipelines, so I would solve that by refining parsing logic, improving text normalization, and tuning the AI extraction layer for cleaner structured outputs. My approach would start with auditing current bugs and performance bottlenecks, then prioritizing high-impact fixes while measuring baseline vs. improved metrics. I have solid experience with Python (FastAPI/Flask), API integrations, and optimizing AI-driven systems where output quality and response time directly affect user trust. I would also clean and standardize output data so reports, insights, and PDFs are more consistent and reliable for end users. All fixes will be documented clearly with explanations of root causes and prevention strategies to avoid regressions. And I can help you so on by improving system stability and accuracy in a measurable, production-ready way. Thanks, Hercules

@Rekhathakur

Hello I have thoroughly reviewed your project description and am confident in my ability to assist you in completing it successfully. I believe it would be highly beneficial to delve deeper into the specifics of the job to determine the most effective way forward. I am open to scheduling an interview at your convenience, and I genuinely appreciate the chance to collaborate with you on this project. Your response is eagerly anticipated, and I'm excited about the prospect of working together. Thank you for considering my proposal. Looking forward to your prompt reply! Best regards Rekha!!!

@kamran2012

Good to see this project, I will triage and fix the highest-impact bugs, improve Arabic CV parsing accuracy, and document baseline vs. post-fix performance metrics for each change. For Arabic CV analysis, I will focus on normalizing Unicode variations and handling right-to-left layout quirks in PDF extraction — these are the most common causes of garbled output in bilingual CV parsers. Questions: 1) Which PDF extraction library is currently in use — PyMuPDF, pdfplumber, or another? 2) Are the bugs tracked in an issue board, or do you need me to audit and log them first? Looking forward to potentially working together. Thanks, Kamran

@hassannaweed4

With my robust expertise in Python software development, AI, and data analytics, I am well-equipped to address the current needs of your AI-based recruitment platform. Not only have I worked extensively on projects similar to yours, but I have built my career around elevating the digital presence of businesses through functional yet aesthetically pleasing solutions. One aspect I realize is crucial for your project is not just fixing bugs; it's documenting improvements with clear metrics. Through this, we can establish a solid foundation for your platform's future growth. My extensive experience with API integration and system optimization will guarantee that the fixes and performance enhancements I implement will produce measurable gains. Besides, my background in AI applications using OpenAI and LangChain will facilitate solving your CV analysis accuracy problem. I understand that refining a SaaS environment can be a multi-layered task, but my ability to approach challenges with a forward-thinking mindset and stay organized during part-time work would bring stability and progress to your system in every stage of our collaboration. Let's get started on stabilizing and perfecting your platform!

@mascotindia123

Hi, I can help stabilise and optimise your AI-based recruitment platform with a strong focus on performance, accuracy, and clean output structure. I have solid experience working with Python (Flask/FastAPI), debugging production systems, and improving API-driven architectures, including AI-based workflows and text processing. My approach would begin with identifying high-impact bugs, profiling performance bottlenecks, and refining CV parsing logic—especially for Arabic content—to improve accuracy and consistency. I also prioritise clean data structuring and reliable output formats to enhance downstream usability and user experience. I follow a metrics-driven workflow, documenting baseline vs. improved performance and ensuring all fixes are well-tested to prevent regressions. I’m comfortable working part-time in collaborative environments using Git, issue trackers, and async communication, while maintaining clear and consistent progress updates. The budget and timeline can be discussed further based on the current system state and priorities. Regards, Harpreet Singh

@iosifpeterfi

I'm Iosif Peterfi, 15+ years of delivering reliable systems for teams across Europe with a calm, results-driven approach. This is my speciality: optimizing AI-enabled recruitment platforms with multilingual CV parsing (Arabic and English), reliable data workflows, and a smooth, recruiter-friendly UX. I understand you need a part-time engineer to stabilise an existing AI-based recruitment platform, fix high-impact bugs, improve performance, enhance Arabic CV analysis, clean and structure output data, and refine the overall user experience for real users. I will triage the highest-impact issues, merge fixes to production, and document gains. Then I'll tune bottlenecks, optimise API calls, and tighten Arabic CV parsing rules. I'll cleanse outputs for reliable dashboards and reports, and polish UX flows for smoother candidate journeys. You'll receive a performance baseline and post-fix metrics, plus a concise note on what changed and how to avoid regressions. Last month I helped an HR tech platform stabilise analytics and improve multilingual CV parsing, boosting accuracy by 12 points and cutting processing time by 40%. That resulted in quicker candidate screening and fewer manual reviews for recruiters. 1-2 weeks. Happy to discuss scope alignment. Let's chat - I can walk you through my approach in 15 minutes.

@juanjosec63

Hi, I have strong experience with Python, FastAPI/Flask, API integrations, and performance optimization, working on AI-based systems that require stability, accurate data processing, and clean output structures. I can step into your existing platform, fix high-impact bugs, improve CV parsing accuracy (including Arabic handling), optimize performance, and clean the data flow so outputs are consistent and reliable for real users. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@johnallenvillan1

Hi, I’ve gone through your description of the AI recruitment platform, especially the need to stabilise Arabic/English CV analysis and tighten overall performance. I’ve handled similar SaaS optimisation work where I reduced API latency by 38% and resolved parsing inconsistencies in a multilingual CV‑processing pipeline. I see the real challenge here being the combination of AI-driven text extraction and the variability of Arabic CV formats; most issues stem from preprocessing gaps or ambiguous entity mapping. Getting those layers clean is what makes the insights reliable. I’ll profile the current pipeline, isolate the high-impact bugs, optimise the FastAPI/Flask endpoints, and refine the text‑normalisation logic for both languages. I’ll also document each fix and provide before/after performance metrics so your team has a clear trace. I’d like to confirm your deployment environment and whether the current AI models are hosted or called via API. Thanks, John allen.

@Vsion2

I can do it, I can do it, I can do it, I can do it, I can do it, I can do it, I can do it, I can do it,

@maximg10

⭐Hey, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in Python development, particularly with Flask and FastAPI. My expertise also includes API integration and system optimization, aligning perfectly with your project requirements. I have a proven track record of enhancing system performance and fixing bugs effectively. I am confident in improving the accuracy of CV analysis, especially for Arabic CVs, and in refining the user experience of the AI-based recruitment platform. My technical skills and hands-on experience with AI systems and CV parsing will be valuable assets to the project. This project presents a great opportunity to not only stabilize the platform but also elevate its accuracy and overall performance to meet the needs of real users. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@GameOfWords

With 5+ years of experience in Python backend development and AI-driven SaaS systems, I have maintained and optimized production-grade platforms including CV parsing, NLP pipelines, and API-based recruitment tools. I focus on improving system stability, accuracy, and performance without disrupting existing workflows. For your platform, I will start with a structured audit of the current Flask/FastAPI services, AI CV analysis pipeline (especially Arabic language processing), and data output flow. I will reproduce and isolate high-impact bugs, then prioritize fixes based on system stability and user impact. Performance improvements will be implemented through code optimization, prompt/model tuning (if applicable), and structured data cleanup to ensure consistent, production-ready outputs. All changes will be validated against baseline metrics to ensure measurable improvement. Could you share which part of the system currently causes the most critical user-facing issues, and do you already have baseline performance metrics or logs for the CV analysis accuracy (especially for Arabic CVs)?

@LordAskar

I am a professional, experienced in that. I can do it. I have already done sth like this in my startup. Lets talk more. I guess we will reach to something.

@FaizalShaik80

Hi, hope you are well. I’ve carefully reviewed your requirements, and this is essentially the same type of project I completed two months ago. I am an experienced and specialized freelancer with 6+ years of practical experience in Python, Django, FastAPI, Flask and I’m able to complete and deliver this project promptly. You can visit my profile to check my latest work and recent reviews. Looking forward to working with you, connect in chat. Talk soon.

@webmasters486

Hey, I’ve reviewed your project and understand you’re looking for a part time developer to stabilize and improve an existing AI based recruitment platform, focusing on bug fixing, performance optimization, and improving CV analysis accuracy, especially for Arabic content. The goal is to make the system more reliable, faster, and production ready without introducing unnecessary changes. I can work within your existing Python stack using Flask or FastAPI to identify high impact bugs, optimize API calls, and improve data processing pipelines for better accuracy and cleaner output structuring. For Arabic CV parsing, I’ll refine tokenization, normalization, and model prompts or parsing logic to improve consistency and reduce misinterpretation. I’ll also enhance performance by profiling bottlenecks, optimizing queries, and improving response times while maintaining system stability. You’ll receive clean, tested fixes deployed to production along with measurable performance improvements and a clear technical summary of what was fixed, why issues occurred, and how to prevent regressions. I’m comfortable working part time, managing tasks independently, and collaborating via Git and async communication. Let’s connect so I can review the current system and start improving stability and accuracy. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486

@techsty2014

Interesting project, I will profile with py-spy and Scalene to baseline performance, harden the Arabic CV parsing path, and push documented fixes with before/after metrics. On the Arabic side: most Python PDF libraries reverse RTL word order and break on ligatures, which is why accuracy drops on Arabic CVs. Fix is OCR via Tesseract with the Arabic pack plus unicodedata normalization, not text-layer extraction. Questions: 1) Is CV accuracy measured against a labeled test set yet? 2) Flask or FastAPI, and is async in use anywhere? Looking forward to discussing further. Best regards, Faizan

@durgesh8527

As a seasoned software engineer with over 12 years of hands-on experience, I am well-versed in the languages and frameworks required for this project, including Python, Flask, and FastAPI. I have a comprehensive understanding of APIs and system optimization, which will be invaluable in debugging Python in your SaaS environment. My familiarity with Git, issue trackers, and chat will ensure seamless communication as we tackle bugs, optimize performance, and enhance your system. Moreover, I have previously worked on projects involving machine learning, AI systems, and data analysis which makes me adept at data-driven decision-making which aligns perfectly with your need for accurate CV analysis. Additionally, my expertise with open-source platforms like WordPress and Shopify will come in handy as well. I pride myself on delivering clean, scalable, and high-performing solutions - traits that are essential for stabilizing your systems while preparing them for real users. You can count on me to document performance gains clearly demonstrating the value-add of my work. With an unwavering commitment to on-time delivery without compromise on quality - let's fix those bugs and boost your system performance together!

@danielboggs

Hello, I’ve read your description and I’m confident I can stabilise and optimise your AI recruitment platform. I have deep Python experience (Django, Flask, FastAPI) and practical background improving CV parsers and ML pipelines. I will triage highest-impact issues, add targeted fixes to parsing logic for Arabic and English CVs, optimise heavy endpoints, profile and reduce latency, and clean/structure output data so downstream modules and PDF reports are consistent. Technically, I’ll start with testable bug reproductions, use profiling (cProfile/py-spy), add strict validation and unit tests around CV parsing, and improve model input preprocessing for Arabic tokenisation. I’ll push fixes, document measured performance gains, and supply a concise postmortem with regression-avoidance notes. Which three bugs or pain points would you like me to prioritise first (e.g., slow API endpoints, Arabic parsing accuracy, PDF inconsistencies)? Best regards, Daniel

@shakilan4

Hi, I have strong experience with Python (Flask/FastAPI), API integrations, and optimizing AI-based systems, and I can efficiently fix bugs, improve performance, enhance Arabic/English CV parsing accuracy, and clean output data while documenting measurable improvements and ensuring a stable production-ready system. Best regards, Shakila Naz