Tech Stack meets Retail
I work at the intersection of e-commerce operations, data and AI automation — translating operational requirements into solutions that hold up in daily business.
The spectrum ranges from tracking, API integrations and newsletter automation (segmentation, A/B testing) to Python data pipelines, LLM workflows and computer vision — end-to-end workflows that raise data quality, shorten time-to-market and meaningfully lighten the load for teams.
AI-Powered Return Analysis & Classification
Application of local language models (Qwen 2.5) for intelligent, GDPR-compliant classification of return reasons and data-driven analysis.
AI-Driven Product Visualization & 3D Camera Control
Automated generation of product views from multiple perspectives using the Qwen Image Edit 2511 model and AI-driven 3D camera control.
KPI Optimization & Customer Segmentation
Data-driven optimization of the customer journey through real-time personalization and statistically validated A/B-testing frameworks to maximize conversion rates.