Python RPA & ML Expert -3

@AwaisChaudhry

Hi there, I understand you need a battle-tested Python RPA engineer who can start immediately on an automation project with web navigation driven by a decision tree, document handling, and human-like browser behavior, all offline and self-contained. I will design end-to-end RPA workflows using robust web navigation, scalable scraping, and reliable offline NLP/vision models. My approach is to implement a pure-Python stack with Playwright or Selenium for web control, TensorFlow-based offline CV models for document understanding, and spaCy pipelines for NLP, all without external API calls. I will build modular components with strong error handling, state management, and a clear decision-tree mechanism to drive portal navigation and document workflows. I will also include lightweight MLOps practices for model versioning and monitoring, so you can iterate fast on real-world results. What is your preferred baseline for decision-tree complexity and the expected throughput (transactions per hour) so I can tailor the architecture and milestones? I’m ready to dive in and hit the ground running, delivering production-grade automation with solid testing, logging, and rollback options. Let’s discuss your exact portals, data formats, and performance targets so I can tailor the architecture and milestones to your needs. Best regards,

@irsolutions

With over a decade of experience in Full-Stack Web, Mobile, and Blockchain Architecture, I understand the urgency of your project in need of a Python RPA Engineer specializing in NLP and Computer Vision. Your goal of seamless automation and intelligent web navigation align perfectly with my background in building high-performance systems, such as serving over 1 million users with Telegram Mini Apps. A strategic insight I offer for your project is to implement a robust fault-tolerant system for web scraping at scale to ensure reliable and efficient data extraction. My track record in developing and scaling complex systems, coupled with expertise in Python RPA, Computer Vision, and NLP, positions me well to tackle the challenges your project presents. I invite you to reach out to discuss how I can contribute to the success of your time-sensitive automation project. Let's connect and map out a roadmap to deliver the high-quality results you're aiming for.

@Lats7

Hi, I’m Stefan, a senior Python engineer with strong experience building production RPA systems and AI-driven automation. I’ve delivered end-to-end workflows using Playwright/Selenium for complex web navigation, scraping, and document handling with human-like interaction patterns. I’ve also built offline NLP pipelines (spaCy) and computer vision models using TensorFlow for document understanding. I focus on robust, fault-tolerant systems with clear decision logic and fast iteration. I can hit the ground running and deliver under tight timelines. Ready to start immediately. Best Regards, Stefan

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you need a strong Python RPA engineer to build production-grade browser automation with decision-tree navigation, document handling, offline NLP/CV, and reliable alpha testing. I’d approach this with a modular Playwright/Selenium workflow engine, clear exception handling, offline spaCy/TensorFlow pipelines, logging, retry logic, and testable decision-tree rules so the system can handle real-world portal changes. I’ve built similar automation and scraping systems with Python, Playwright, browser behavior simulation, and fault-tolerant workflows. I have a few questions for clarification: Q1 – Are the target web portals already defined, and do they require login/session handling? Q2 – What document types should the offline CV/NLP pipeline process first, such as PDFs, screenshots, forms, or scanned files? Q3 – Do you already have labeled training data for the offline models, or should that be part of the initial scope? Looking forward to hearing from you.

@kareemmaize

Hi there RPA systems like this don’t fail on navigation logic, they fail when edge cases stack—DOM changes, timing issues, and document inconsistencies break the flow mid-process. I’ll approach this by structuring a resilient Python RPA engine using Playwright, with a decision-tree controller that handles navigation states, retries, and fallback paths instead of brittle step-by-step scripts. This means I understand how the system moves through portals, extracts documents, processes them with offline CV/NLP models, and continues execution without breaking under real-world variability. My process is simple: first define the decision tree and critical workflows. Then build the automation engine with robust error handling. Finally, integrate offline CV/NLP models and harden the system through real-world testing. Final timeline and budget will be defined precisely once the workflows and document types are reviewed. If this aligns with you, let’s discuss in detail via private chat.

@juanjosec63

Hi, I have gone through your project description and understand you’re looking for a senior Python RPA engineer to build production-level automation with web navigation, document handling, decision-tree workflows, and offline ML models for NLP and computer vision. I have strong hands-on experience in Python automation using Playwright and Selenium, building real-world RPA systems for web scraping, form automation, and multi-step workflow execution with strong error handling. I’ve also worked on offline NLP pipelines using spaCy and built computer vision models with TensorFlow for document and image processing without relying on external APIs. For this project, I can design a robust RPA system with decision-tree based navigation, human-like browser behavior, and scalable scraping logic. I will also integrate offline ML components for document understanding and structured data extraction, ensuring the system runs fully self-contained and production-ready. Best regards, Juan

@Rekhathakur

Dear Client, I have engineered sophisticated, real-world automation systems that perfectly align with your project requirements – from web navigation and scraping, to implementing decision-tree-based logic, and even building personalized neural networks for document and visual understanding. Not only have I integrated up-to-date approaches to web navigation (using Playwright or Selenium) in my previous projects but I am also skilled in offline models which are a must for your task (TensorFlow for Computer Vision & SpaCy for NLP). Over the years, I've surpassed countless challenges thrived on fault-tolerant web scraping at scale. Aside from the mandatory skills set you're seeking, I bring with me the value-added features of MLOps experience (model versioning, deployment & monitoring) as well as handling complex workflows with exception management. My project-driven approach resonates well with your time-sensitive need as you don't need to worry about guiding me or any ramp-up time, just hit the ground running! So let's bridge the gap between imagination and implementation together for surpassing your objectives effectively!! Thank you!!

@nickyjohnl

Hello, I have extensive experience building production-grade Python RPA systems using Playwright and Selenium, including large-scale web automation, resilient scraping pipelines, and decision-tree-driven navigation across complex portals. I’ve also developed offline NLP pipelines with spaCy and custom computer vision models in TensorFlow, covering document parsing, visual classification, and fully self-contained neural network training and deployment. To deliver your solution, I will implement a robust RPA framework with adaptive browser automation, structured decision logic, and fault-tolerant workflows, combined with offline NLP and vision models for intelligent document handling. The system will include human-like interaction patterns, retry strategies, and modular components to support rapid iteration during alpha testing while maintaining stability. Could you clarify the types of documents and visual inputs the models will process? What level of concurrency or scale is expected for the automation workflows? Best regards

@OscarMozo

Hi, I can help you with this. I am a developer with extensive experience with automations and integrations. I've helped clients with similar projects. Let me know your interest, Sincerely, Nicolas

@usmanbashir12100

Hi, I’m a strong fit for this role and can jump in immediately on production-grade Python RPA + offline AI workflows. I’ve built automation systems using **Playwright/Selenium** for complex multi-step navigation, including anti-bot handling, dynamic DOM flows, and fault-tolerant scraping pipelines. I also have hands-on experience designing **offline NLP pipelines (spaCy)** and **computer vision models (TensorFlow)** without relying on external APIs. **How I would approach your system:** * Build robust RPA workflows with Playwright (state-aware navigation + decision-tree logic) * Implement human-like interaction patterns (timing variance, session handling, retries) * Design offline CV/NLP modules for document parsing and classification * Ensure full fault tolerance (logging, recovery flows, exception handling at every step) * Structure everything as modular Python services for easy scaling and testing I understand this is a production-critical system, so I focus heavily on reliability, not just functionality. Available to start immediately.

@mugencodes

Hello, I understand the urgency and complexity of your Python RPA & ML project, and I am here to offer my expertise in Python, Machine Learning (ML), Computer Vision, and AI/RPA development to address your specific needs. Your requirement for a battle-tested Python RPA developer who can seamlessly handle intelligent web navigation, document handling, and human-like browser behavior aligns perfectly with my skills and experience. I have successfully designed and executed end-to-end RPA workflows, implemented decision-tree-based navigation logic, and built and fine-tuned neural networks for document and visual understanding. My proficiency in Python RPA using Playwright and Selenium, Computer Vision with TensorFlow, NLP with spaCy, and neural network design will ensure the seamless execution of your project. I am confident that my expertise and hands-on experience in handling complex, real-world automation projects make me a suitable candidate for this role. I look forward to contributing to the success of your project. Best regards, Jayabrata Bhaduri

@mzdesmag

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with Python RPA & ML Expert I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statistical programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD/CAM,AutoCAD, 2D, Architectural Engineering, SolidWorks, Unity 3D, PCB, Electronics, Arduino, Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.

@techsty2014

Hello there, I will build the Python RPA system: Playwright with decision-tree navigation as an explicit state machine, offline CV in TensorFlow (EfficientNet or custom CNN via ONNX), spaCy pipelines with custom NER, and fault-tolerant document handling with retry/backoff and per-step exception isolation. For human-like browser behaviour, the bar above 'random sleep' is what most RPA quotes skip: Bezier-curve mouse paths, reading-time dwell scaled to on-page text length, scroll patterns that decelerate at section boundaries, plus Playwright with patchright and curl-cffi for TLS fingerprint matching. That gets through Cloudflare and DataDome instead of tripping them. Questions: 1) Target portals in scope, and have they shown anti-bot signals (Cloudflare, DataDome, PerimeterX) in earlier attempts? 2) CV/NLP models trained from your dataset, or pre-trained checkpoints to start from? Send me a message and we can go over the details. Best regards, Faizan

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have successfully delivered production-grade Python RPA and ML projects involving end-to-end automation workflows with decision-tree logic and offline neural networks for document processing. The key to success for this project is building robust, fault-tolerant automation with fully offline ML models and human-like web interaction, based on my extensive experience. Approach: ⭕ Design and implement Python RPA workflows using Playwright or Selenium. ⭕ Develop decision-tree-driven web navigation and scraping automation. ⭕ Build and train offline TensorFlow models for computer vision tasks. ⭕ Create spaCy NLP pipelines fully self-contained offline. ⭕ Simulate realistic browser behaviors to navigate dynamic sites effectively. ⭕ Ensure rapid alpha testing and iteration based on live feedback. ❓ Could you please clarify the specific web portals involved and the scale of document processing? ❓ Are there preferred architectures or pretrained models for the neural networks? I am confident in delivering a high-quality, scalable automation system tailored to your urgent project needs. Looking forward to the opportunity to collaborate. Best regards, Nam

@Hubready

Hello! I am a US-based senior software engineer with extensive experience, particularly in Python, Machine Learning, and RPA development. I’ve carefully read your project description regarding the Python RPA Engineer role focused on NLP and computer vision, and I’m excited about the potential impact of this project. With around 15 years in the field, I specialize in AI and automation, creating intelligent workflows and data processing systems. My experience also includes building robust APIs and leveraging tools like Selenium and Beautiful Soup. I aim to deliver solutions that are not only technically sound but also practical and maintainable. To ensure I align perfectly with your needs, could you please clarify the following questions to help me better understand the project? 1. What specific NLP tasks are you looking to automate? 2. Do you have a preferred framework or library for the computer vision aspect? I believe my attention to detail and commitment to quality make me the right fit for this role. I look forward to the opportunity to discuss how we can successfully bring your vision to life. Best, James Zappi

@johnhygh

Hello Sir, With 9+ years as a Senior Full Stack & DevOps Engineer, my experience aligns precisely with your needs. I am fluent in Python RPA, having deployed and maintained complex web navigation and scraping workflows through tools like Playwright and Selenium. Scaling things up is not new to me; I understand the intricacies of web scraping at scale and can ensure robustness and fault-tolerance across your project. Moreover, my solid background in Computer Vision (using TensorFlow) combined with NLP (using spaCy) spaces me uniquely at the intersection of your project's needs for document and visual understanding. I have hands-on experience in offline neural network design; not just fine-tuning wrappers. My solutions are production-grade from inception to deployment, ensuring a zero external API calls for offline models. On the MLOPS front, I'm well-acquainted with model versioning, deployment, and monitoring. This underscores an important aspect of this project - iterating fast based on real-world results for rapid improvements and successful alpha testing. Even more so, my 9 years have taught me to handle an assortment of challenges skillfully, bringing value to complex multi-step workflows with efficient exception handling. In summary, choosing me guarantees both immediate impact and long-term value for your project. Thanks! John

@boryskhomych

Hello, How would you ensure seamless integration between the decision-tree-based navigation logic and the document handling process in this urgent automation project? With over 7 years of experience in Computer Vision, Machine Learning, and Python, I am well-equipped to tackle the challenges of this Python RPA and ML project. I specialize in designing scalable solutions that leverage AI-powered systems, real-time monitoring, and data pipelines to drive informed decisions. I approach projects by focusing on system-wide connections and delivering scalable solutions from the get-go. My expertise lies in building MVPs that can easily scale, owning architecture decisions, and executing with speed and clarity. I am committed to clear communication and am eager to contribute to this project. Best regards, Borys

@matthewc785

Hi , Good evening! I am skilled mobile software engineer with skills including Computer Vision, Machine Learning (ML), AI/RPA development and Python. Please contact me to discuss more regarding this project. Looking forward to hearing from you soon

@bv413

Hi there, Your urgent Python RPA build needs someone who can move straight into production-grade Playwright/Selenium workflows, not prototype around the edges. I’ve spent the last 4 years solving exactly this kind of problem: decision-tree web navigation, resilient scraping/download flows, offline NLP/CV models, and human-like browser automation for dynamic portals. I can design the end-to-end Python architecture, implement fault-tolerant navigation with retries and state tracking, build spaCy pipelines for document understanding, train/serve offline TensorFlow vision models, and wire everything into alpha testing loops so issues are caught fast in real-world runs. I’ll also keep external API calls out of the ML layer and structure the code for maintainability, logging, and future MLOps/versioning. Best regards,