Doudou Yu

Contributed to the development of a system quantifying human psychological parameters and lifestyle-related values based on questionnaire responses and SNS data analysis as a core project for Smart City. Leveraged cutting-edge technology to provide personalized recommendations by understanding individual preferences and lifestyles.

• Designed and built advanced data pipelines, automated model evaluation, and API integration.
• Model Evaluation and Optimization: Conducted performance evaluation and optimization to enhance model accuracy.
• Model Deployment: Deployed trained models to production environments, enabling real-world application use.
• API Development: Developed APIs to allow external access to model functionalities.
• System Architecture Design: Designed system architecture to support efficient data processing and model execution.
• Automated Testing and Deployment: Implemented automated testing and deployment processes to ensure code quality and facilitate rapid release cycles.
• Performance Monitoring and Optimization: Monitored and optimized the performance of systems and models(including LLM) to improve operational efficiency.
• Enhanced operational efficiency and reliability through infrastructure automation, system monitoring, and anomaly detection.
• Data visualization: Developed dashboards using PowerBI and Mode.

ML Engineer: Automated Product Caption Generation System
Development of an innovative system leveraging machine learning to auto-generate compelling product captions from images and product codes, significantly reducing manual captioning efforts. This enhancement motivated sellers to increase product photo uploads, enriching the customer browsing experience and potentially boosting sales engagement.

ML Engineer: Packing Container Recommendation System
Creation of a machine learning API designed to revolutionize the warehouse packing process by recommending the optimal container for each order. This project involved intricate model training, feature engineering, and the application of time series data analysis and natural language processing techniques. The system markedly reduced operational costs by streamlining the packing workflow and minimizing resource wastage.

Back-end application Engineer:

Fintech API Development for Online Payment System
Engineered a robust online payment system, including bespoke solutions for diverse services (e.g., R-mobile, R-travel, R-Point, R-keiba), employing event-driven architecture for heightened efficiency. My work encompassed the entire development lifecycle from RESTful API design to deployment, with a keen focus on credit tokenization and blockchain technology to ensure secure transactions. Managed troubleshooting and leveraged cloud platforms (AWS, GCP) for scalable, reliable service delivery, culminating in a seamless release cycle.

In the pharmaceutical industry, streamlined data infrastructures were created for drug development and clinical trials. Tasks included the creation of secure databases, ensuring regulatory compliance, and enhancing data processing speeds. Efforts led to the migration to cloud platforms, reducing costs, and the spearheading of a real-time analytics platform, accelerating research. Work supported significant advancements in medical research and new treatment developments through collaboration with interdisciplinary teams.

Work as a full stack engineer on various Web applications,
experienced following projects:
Insurance CRM system of insurance company
HR system of Airline company
Financial system of securities company and etc.
Inventory management system of petroleum products