FluxLab
From: Poland
Location: Lublin
On Useme since 23 July 2023
Deals 2
SUCCESSFUL: 2
DISPUTED: 0
FAILED: 0
About me
Software engineer: automation, API integrations and data work (Python). I build REST API integrations and webhooks with CRM and ERP systems (daily: Pipedrive and Zapier), data pipelines (scraping, validation, sync) and document flows with OCR invoice reading.
I run website speed audits (Core Web Vitals), GA4 setups with e-commerce events and email deliverability setup (SPF, DKIM, DMARC). My free audit tool: fluxlab.pl/audyt-strony.
For shops I take on specific fixes: WordPress and WooCommerce, Shoper, IdoSell, checkout bugs, product feeds, technical SEO. I translate from English into Polish, enter products and clean up spreadsheet data.
I also do algorithmic trading work: MQL5 on MetaTrader 4 and 5, backtesting, quotes through APIs. I turn a spreadsheet strategy into working code and test it on history before it touches a live account.
Tech: Python, REST API, Next.js, n8n, Zapier, Pipedrive, GA4, scraping, SQL, Linux, Git.
Categories
CV / Résumé
Apr 2025 - Now
Integration and Automation Engineer
Stermedia
Service and integration development: APIs, databases, process automation, GA4 and BigQuery reporting. Backend work and data quality, from pulling data at the source to using it in the shop and in reports.
Feb 2022 - Apr 2025
Integration and Automation Specialist
Carmore
Zapier, Pipedrive, Cloudtalk, Callpage, Supabase and Cloudinary integrations. Reporting scripts and scraping that kept product databases and CRM data up to date, so daily sales and traffic reports ran without anyone retyping data between systems.
Jul 2020 - Feb 2022
Data Analyst
Carberry
Sales and operations data analysis, management reporting, automation of recurring spreadsheets in Python. Instead of rebuilding sheets by hand every week, reports were generated automatically and delivered to inboxes.
Portfolio
A public tool I wrote and maintain. You enter a website address and within seconds it measures server response time, page weight, the mobile version, certificate, security headers, robots file and SEO basics, then returns a score and a list of concre
Automatic creation and updating of leads and deals in a CRM from web forms and external systems. Webhook handling, record deduplication, validation and full logging, so no event is ever silently lost.
Pulling data from external sources, validating and normalising it, then syncing into a database or CRM. Queue with throttling and retry with backoff, state persistence and a report on what succeeded and what needs attention.
Public web tool that checks a domain's email configuration (SPF, DKIM, DMARC): whether anyone can spoof it and whether the mail actually lands. Server-side DNS analysis, a 0-100 score with clear recommendations. Built and deployed by me.
Bulk generation of finished .docx documents from spreadsheet rows against a template, one row per document. Solves the classic trap that breaks other scripts: Word splits a field across several runs and naive replacement fails.
A tool that checks the Polish public tender database every day (over a thousand open notices) and keeps only the ones matching a given profile. It works on the portal's public API rather than clicking through pages, so it is fast and does not break w
Scraper for a marketplace that finds bargains, scores their margin with an AI model and pushes matches to Discord as alerts. Result persistence, duplicate blocking, throttling and rate limit handling. A real system in daily use.
Automated traffic and conversion reports via the Google Analytics Data API: daily summaries by email and dashboards split by source and campaign. Period over period comparisons and flagging of incomplete data, so the numbers stay trustworthy.
Sending personalised messages to a list of companies with rate control, bounce handling and a log of every attempt, so it is clear who received it, who replied and where the server rejected it. Python, email provider API, contact data collected and c
Panel do pracy z agentami AI
A tool I built and use every day. It replaces a dozen terminal windows with one panel: it runs parallel AI agent sessions, shows their progress live, connects to calendar and mail, and collects reports from recurring jobs. Written in Python and Next.
Completed offers 1
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Analiza finansowa projektu + system premiowy dla sprzedażySzukam osoby z doświadczeniem w analizie finansowej, controllingu / FP&A lub modelowaniu...