
Denys S
Senior Python Developer
Kompetenzen

Meine Dienstleistungen


Arbeitserfahrung
AI Automation Engineer | Self-Employed / Freelance Clients
CompulabsCloud™ • Vollzeit
Jan 2024 - Mar 2026 • 2 yrs 2 mos
I design and build AI-powered automation systems for business workflows, internal tools, lead handling, reporting, data processing, and API integrations. My work combines Python, n8n, OpenAI API, webhooks, FastAPI services, databases, and third-party platforms such as Google Sheets, Airtable, Slack, Telegram, email systems, CRMs, and custom APIs. I build practical automation that can be used in daily operations: workflow mapping, API integration, prompt logic, structured outputs, validation, retries, error handling, logging, alerts, and documentation. Typical projects include AI data extraction, document processing, lead qualification, CRM routing, reporting automation, and custom Python services for workflows that need more than no-code tools can provide.
Full-Stack Python and JavaScript Developer
Soft Square • Vollzeit
Jan 2023 - Dec 2023 • 11 mos
Developed full-stack web applications, internal tools, dashboards, admin panels, and browserbased products using Python backends and modern JavaScript frontends. Worked across backend APIs, frontend interfaces, databases, authentication flows, integrations, and deployment support. Projects included SaaS-style MVPs, automation dashboards, CRM/marketplace integration portals, reporting interfaces, Chrome extension workflows, data management panels, and APIconnected business tools. Used Python, FastAPI, Django/Flask, React, Vue, JavaScript, TypeScript, PostgreSQL, MySQL, Docker, REST APIs, and third-party services.
E-Commerce Data Platform Developer
AI Medical Technology • Vollzeit
Apr 2020 - Dec 2022 • 2 yrs 8 mos
Developed a high-volume e-commerce data collection and catalog processing platform for product, price, availability, category, image, attribute, and metadata tracking. The project was built for a business that needed structured product data from large online catalogs and marketplace-style sources, with clean exports for analysis, operations, and internal decisionmaking. My role covered the full technical implementation: crawler architecture, data extraction logic, parsing, deduplication, normalization, storage, export formats, scheduled execution, and maintenance. I built Python automation that could process large product catalogs, handle changing page structures, preserve product identity across updates, and deliver clean structured data in CSV, JSON, Excel, and database-ready formats. One automotive catalog-style project reached multi-million-record scale, requiring careful handling of duplicates, partial records, failed pages, and repeatable exports.