Senior Architect (Big Data | LLM Development)

2/2025 – 2/2026

Developed a plugin enabling automatic data synchronisation between platforms (Doba, Gigaclouder, eBay, Amazon,Shein,Target,Walmart,Temu,Taobao/Tmall,1688) and e-commerce sites (AliExpress, Voghion, Shein,eBay,Amazon,Temu), using MPP architecture for large-scale parallel data processing. Configure filtering conditions, category attributes, and pricing algorithms. AI powered main image replacement (logo removal), filtered keyword libraries, and prohibited word libraries to prevent infringement. Products can be listed directly to your store without secondary editing—simple and efficient.
List up to 10,000 products per day.
Monitor product inventory and price changes; supports automatic price adjustment.
Core Features:
- Category synchronisation
- Product setup and publishing
- Data collection and inventory monitoring
- Prohibited word filtering
- Shop management
Technologies: MySQL, Python (Flask, Gunicorn, Nginx), Redis
Key Responsibilities:
- Designed system architecture
- Developed data collection and monitoring logic
- Implemented data processing workflows

JavaScript, Mysql, Python

12/2019 – 12/2024

Built a marketing platform for China Telecom IPTV services, integrating user viewing data, product subscriptions, and customisable recommendation templates to support province-level campaigns and nationwide holiday promotions for millions of users.
Core Features:
- User profiling model and intelligent recommendation module
- Marketing campaign module with gamification features
- Template and content management modules
- Data analysis and visualisation dashboards
Technologies: Big data architecture, data warehouse design, high-concurrency and fault-tolerant systems, recommendation algorithms
Key Responsibilities:
- Led overall system and network architecture design
- Implemented high-concurrency and disaster recovery solutions
- Developed recommendation and analytics modules

Solution Architekt

12/2015 – 11/2019

Designed and implemented a Hadoop-based big data platform with multi-tenant support, resource management, visualised data processing workflows, and security controls.
Core Features:
- Platform monitoring and metadata management
- Data synchronisation management
- Data development and algorithm development platforms
- Indicator and visualisation platform
- User and resource management
Technologies: Java, Hadoop, ClickHouse, Hive, WaterDrop, Sqoop, Flume, Elasticsearch, Kafka, Flink, Spark, MySQL, Redis, Nacos, Docker
Key Responsibilities:
- Designed and implemented permission and resource management systems
- Developed offline and streaming computation components
- Built metadata and tagging frameworks

Projektentwickler