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Automation doesn't always fail loudly. A loud failure gets fixed the same day. The expensive ones are quiet - the run shows green, the log looks clean, and nobody notices until someone downstream asks why the numbers don't add up. Fourteen years in QA trained me to hunt that second kind. Now I build automation that surfaces it instead of hiding it. That habit came from testing. At Luxoft it meant embedded and enterprise systems for Mercedes, Boeing and Standard & Poor's, where anything reaching production broken was expensive and very visible. Then nine years running QA at a European e-commerce company, where a data flow failing silently meant orders that never shipped. Most people in automation built things first and picked up testing later. It shows in what gets handed over. Most automation is built for the path where everything works, demoed once, and handed over. Then something small shifts. An API renames a field and your mapping starts writing empty values. A webhook retries after a timeout and creates the same record twice - not once, but every time that endpoint gets slow. Neither of those throws an error you would notice. The run completes, the checkmark is green, and the damage sits in your data until someone downstream trips over it. What makes my automation different Every workflow I hand over comes with the same baseline: - Error branches on every external call. - Retries with backoff. - Idempotency keys and deduplication, so a repeated webhook doesn't quietly double your records. This is the one that bites people most often: a duplicate is harder to spot than a missing entry - nothing looks broken, the numbers are just wrong. - Alerts to Slack, Telegram or email when a run stops. - A run log you can read without opening the builder. - A short written list of how this thing can fail, how you will know, and what to do in each case. One thing up front: I don't take builds where nobody can define what "correct" looks like. If we can't agree on what the output should be, there is no way to tell later that it's wrong - and that project ends badly for both sides. What I build Voice and call automation. For an auto repair shop, a Voice-to-CRM booking system - calls captured by webhook, transcribed with Whisper, parsed by GPT-4o mini into client, car and job type, then written into Google Calendar with an SMS confirmation. The managers stopped re-typing call details by hand: around 80% less manual entry, and booking typos went away entirely. Data pipelines and reporting. An AI news curation pipeline covering 23 B2B logistics portals - Playwright for scraping, GPT-4o mini for filtering and summarising, PostgreSQL, FastAPI, cron scheduling, Notion as the review queue, Docker on a VPS. The daily manual scan of 23 sites stopped being anyone's morning: about 15 hours a week back. Lead capture and CRM flows. A Threads-to-Instagram funnel on official Meta APIs, with a Telegram bot on top so the client changes keywords and reply templates from their phone in under 30 seconds without waiting for me. Monitoring and data extraction. Price and stock tracking where a change surfaces as an alert within two minutes. Batch transcription on self-hosted Whisper instead of per-minute APIs - roughly 90% lower cost. Rescue work. I take over automations that already exist and fail in ways that are hard to reproduce - intermittent, condition-dependent, invisible in the run log. Tracking those down is the same problem I worked on before automation, and it's the work I take most readily. Stack n8n, Make and Zapier for orchestration. Python where no-code hits its ceiling - scraping, parsing, batch processing. Claude and the OpenAI API for the AI layer, Whisper for speech. Airtable, HubSpot, Google Workspace, PostgreSQL. REST, webhooks and custom API integration for systems with no ready connector. How we can work: 1) Reliability audit - a ranked list of what will break in your existing automation, why, and what it costs to fix. Lowest-risk way to start, and the fee counts toward the build. 2) Single workflow build - one process, scoped and fixed-price. 3) Full system - several tools connected end to end, with monitoring built in from the start, not added after the first incident. 4) Ongoing support - for teams who need someone watching the systems, not just building them. You work with me directly - no agency, no account manager, nobody junior picking up the build halfway. European hours, overlapping US mornings. Send me the workflow you don't fully trust, or describe the process you still check by hand because you don't quite believe it. I'll record a short video walking through the three places I'd expect it to break first, and what it would take to close them. Free, and you don't have to get on a call to receive it.

I build complete business systems end-to-end: from a conversation about the problem to a running platform — backend, web portal, integrations, automation and AI agents. One developer, the whole result, no hand-offs. WHAT I BUILD ⭐️ - Internal platforms, CRM & ERP — role-based web portals, reference data, multi-layer validation, audit logs. From requirements to production. ⭐️ - Business process automation — legacy terminals and desktop apps, web portals, document and email flows. The routine of a whole department turned into a scheduled job. ⭐️ - ntegrations & APIs — REST APIs, Google APIs, Zoho CRM, Telegram, banking APIs (EnableBanking), 1C. Everything talks to everything. ⭐️ - Data pipelines & web scraping — collection at scale, anti-bot bypass (Kasada, Akamai, hCaptcha), deduplication, normalization, straight into your production DB. ⭐️ - AI agents & LLMs — OpenAI / Claude embedded in real workflows: lead qualification, classification, extraction. With guardrails, not demos. RECENT WORK (NDA-safe) 📂 - BillingHub — HIPAA-compliant medical-billing platform for a US company (hospice & home health): CRM, RBAC, ICD-10 / CMS validation, automated claim collection from a legacy terminal. 35+ minutes of manual work per pass → thousands of claims collected on a schedule. Replaces the routine of dozens of staff. FastAPI · Next.js · PostgreSQL · Google Cloud. 📂 - Lead engine — keyword → scraping → spaCy + LLM qualification → ready leads in Zoho CRM. Fully hands-off. 📂 - Marine vessels catalog — 5 sources, 3-tier deduplication, batch writes into the client's production DB on AWS. 📂 - A2 exam booking bot — 50:1 competition for slots; books in 3–5 seconds. Telegram + Flask dispatcher + Selenium. 📂 - TikTok scraper — custom hCaptcha solver (~90%), 5 months running autonomously. Before Upwork I ran my own software company (2016–2022): online stores with 100k+ SKUs on Bitrix + 1C, CRM/ERP, a cargo-tracking service with a mobile app. Earlier — 8 years in executive roles. That is why I ask about the business problem first and the stack second. HOW I WORK • Spec first: I dig out the real problem before writing code — fewer surprises, predictable timelines. • Modular architecture: every service independent, so nothing breaks its neighbour and one task can grow into a platform. • Security by default: RBAC, 2FA, audit logs, secrets management, compliant cloud (BAA) when needed. • Clean, documented code delivered via GitHub. You own everything. STACK Python (FastAPI, Flask) · TypeScript, React / Next.js · Node.js · PostgreSQL, MySQL · Selenium, Playwright, Puppeteer · OpenAI, Claude, spaCy · Google Cloud, AWS · Docker, CI/CD Top Rated · 100% Job Success · 1,000+ hours on Upwork. Message me with the problem — not the spec. I will come back with a plan.

Hello! I'm Vlada Sotnyk, a proficient Python developer with a knack for tackling diverse programming tasks ranging from minor tweaks to substantial script analysis and development. My expertise lies in creating efficient parsers, integrating various libraries, and dissecting old scripts to enhance functionality and performance. Key Skills and Technologies: Web Scraping and Automation: Skilled in extracting data from websites using advanced web scraping techniques. Proficient with tools like Playwright for automation and BeautifulSoup (BS4) for parsing HTML pages, enabling the collection and processing of web data efficiently. Python Libraries: Extensive experience in utilizing a wide range of Python libraries for various tasks, ensuring the best tools are applied for optimal results. Flask Framework: In-depth knowledge of the Flask framework, allowing me to build lightweight and powerful web applications. Whether it's developing new features or debugging and improving existing code, I leverage Flask to deliver clean, maintainable, and efficient web solutions. I thrive on challenges and am always eager to employ my programming skills to solve complex problems. With a detail-oriented approach and a commitment to quality, I aim to deliver projects that exceed expectations. Whether you need a custom web scraper, a dynamic web application, or maintenance on existing projects, I'm here to help bring your ideas to life with professionalism and expertise. Let's connect and discuss how I can contribute to your project's success! (and) Creative desinger with a great desire to work in the field of Web desing and IT services. Have general education skills in Tilda

🚀 I generated over $100,000 in revenue for Duravan eCommerce through marketing automation system. 🚀 I created a partnership system for Smartcamp eCommerce, generating $200k+ in revenue over 1 year. 🚀 I built automated system for SocialCharts.io to collect data from 350,000+ YouTube channels daily, driving 3,000+ monthly visits within 4 weeks of the project launch. 🚀 I developed a dynamic video content system for a $5B+ professional sports organization (70M+ web visits/month), improving user retention by 10%. Good to see you! I'm Pawel 👋. I specialize in designing innovative systems and strategies that drive measurable results for businesses of all sizes. With a proven track record of success in automation, data collection, and marketing strategies, I’ve built three companies and helped several others achieve significant milestones in revenue, efficiency, and growth. Examples of the systems I create include: Marketing Automation Systems: Streamlining lead generation, email campaigns, and customer engagement using tools like ChatGPT, Instantly.io, Mailchimp, Zapier/Make integrations, Tidio chatbots, and more. Data Collection Systems: Processing massive amounts of information daily to provide actionable insights for scaling businesses. This involves technologies such as the YouTube API, Twitter API, BeautifulSoup, Puppeteer web scrapers, MySQL, MongoDB, Airtable, cron jobs, and cloud services like AWS Lambda. Dynamic Content Management Systems: Tailored for high-traffic organizations to enhance user retention and engagement rates, leveraging JavaScript, React, and other front-end technologies. Additional Expertise Beyond system building, I am proficient with a variety of tools and platforms, including Confluence, Asana, Trello, ClickUp, and Airtable. I also bring years of experience in JavaScript, Node.js, React, and other web technologies to the table. Looking forward to connecting!

🟢 100+ successful projects | Top Rated Plus | 10+ years of experience 🟢 I help businesses collect reliable data, automate workflows, integrate APIs, and build AI-powered systems that reduce manual work and turn messy processes into clean, scalable, production-ready solutions. I’m Sergii, Senior Automation & AI Engineer at DataOx. For 10+ years, we’ve helped startups, small businesses, and growing teams build custom data extraction systems, workflow automation tools, API integrations, backend platforms, data pipelines, and practical AI automation solutions. What I can help you with: • Web scraping & data extraction Custom scraping systems for websites, marketplaces, directories, eCommerce platforms, real estate platforms, job boards, online portals, social networks, and other public or structured data sources. • Data processing & data pipelines Cleaning, structuring, normalizing, transforming, and preparing data for reporting, analytics, dashboards, CRMs, databases, Google Sheets, Airtable, internal tools, or AI systems. • Workflow automation & browser automation Automation systems that replace repetitive manual work, connect tools, handle business logic, run scheduled processes, and reduce operational workload over time. • API integration & backend systems REST API integrations, third-party API connections, custom API development, backend logic, database workflows, admin panels, internal platforms, and scalable business systems. • AI automation & AI-powered tools AI agents, ChatGPT / OpenAI API integration, Claude, Gemini, AI-driven workflows, document processing, natural language interfaces, AI-generated reports, classification, extraction, and decision-making support systems. • Existing system improvement Bug fixing, refactoring, stabilization, performance improvements, error handling, documentation, feature enhancements, and long-term support for existing automation, scraping, backend, or AI systems. Typical projects we build: • Web scraping and data extraction platforms • Price monitoring and competitor monitoring tools • Lead generation and contact data collection systems • Workflow automation and process automation tools • API integrations between CRMs, databases, SaaS tools, and internal systems • AI-powered assistants, AI agents, and business automation tools • Document parsing, classification, and reporting systems • Data pipelines, ETL processes, and structured datasets • Dashboards, admin panels, and backend web applications • Google Sheets, Airtable, Telegram bot, and email automation workflows Why clients work with us: • Strong experience with similar projects • Clear understanding of technical requirements and business goals • Reliable communication and structured project delivery • Clean, maintainable, and scalable architecture • Strong problem-solving approach • Ability to handle changing requirements and real-world edge cases • Production-ready solutions with error handling and clear documentation • Long-term support after the first version is delivered Tech stack and tools: Python, Java, FastAPI, Django, Spring Boot, PostgreSQL, MySQL, MongoDB, REST APIs, Selenium, Playwright, Scrapy, BeautifulSoup, Pandas, ETL pipelines, cloud services, OpenAI API, ChatGPT, Claude, Gemini, Google Sheets API, Airtable API, CRM APIs, payment APIs, and custom backend systems. I work best with clients who need more than just a quick script. If you need an experienced developer or technical partner who can understand the goal, clarify the scope, build a reliable solution, and support it over time, I can help. Send me a message with your project details, data sources, tools, API requirements, or current workflow, and I’ll help you define the best technical approach.

𝗖𝗹𝗲𝗮𝗻 𝘀𝗽𝗿𝗲𝗮𝗱𝘀𝗵𝗲𝗲𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱! 𝗝𝘂𝘀𝘁 𝗽𝗼𝗶𝗻𝘁 𝘁𝗼 𝘁𝗵𝗲 𝘄𝗲𝗯𝘀𝗶𝘁𝗲 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗽𝗼𝗶𝗻𝘁𝘀 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻. 𝗜 𝘄𝗶𝗹𝗹 𝗱𝗼 𝗺𝘆 𝗯𝗲𝘀𝘁 𝘁𝗼 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝗮𝘀 𝗳𝗮𝘀𝘁 𝗮𝘀 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲, 𝗲𝘅𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗯𝘆 𝗰𝘂𝘀𝘁𝗼𝗺 𝗽𝘆𝘁𝗵𝗼𝗻 𝗰𝗼𝗱𝗲. 𝗛𝗶! 𝗠𝘆 𝗻𝗮𝗺𝗲 𝗶𝘀 𝗠𝗶𝗰𝗵𝗮𝗹, 𝗮𝗻𝗱 𝗜 𝗮𝗺 𝗼𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗮 𝘄𝗲𝗯 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝘀𝗲𝗿𝘃𝗶𝗰𝗲. - Extracting data from a website to CSV / Excel file. - Lead generation by scraping e-mails, and phone numbers. - Web crawling and data mining. - Scraping data from backend API. - Data cleaning, sorting, and filtering. - Randomizing IP by web proxy radiation. - Scraping data from backend API. - Web scraping with Python and BeautifulSoup library I've already successfully scrapped thousands of rows of leads with emails and phone numbers. I am constantly looking for new challenges and ideas to get valuable data. I prefer to work on fixed-price contracts, the price depends on how complicated the project is, starting at 40$ per website. 𝗜𝗳 𝗜 𝗰𝗮𝗻 𝗮𝗱𝗱 𝘃𝗮𝗹𝘂𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, 𝗽𝗹𝗲𝗮𝘀𝗲 𝘀𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲. 𝗜 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗵𝗮𝗽𝗽𝘆 𝘁𝗼 𝗮𝗻𝘀𝘄𝗲𝗿 𝗮𝗹𝗹 𝘆𝗼𝘂𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀.