Designed, built, and deployed scalable AI-driven web applications from scratch using Next.js and Python Django REST Framework.

Designed multi-agents pipeline for document classification and financial data processing, reducing manual work by 60%.

Utilized Retrieval-Augmented Generation (RAG) in LLM pipeline to enhance information retrieval and improve response accuracy.

Managed and deployed scalable applications on AWS, utilizing S3, EC2, RDS, Amplify, and ECS to ensure high availability and production stability.

Specialized in backend development utilizing Java Spring Boot and PostgreSQL for processing big scales inspection data with job queues, scheduler and image drawing using Graphics2D.

Implemented RESTful API to enable seamless data retrieval from the database for frontend applications.

Developed Python scripts and PostgreSQL stored procedure for efficient data processing and integration within the database.

Conducting innovative feature development and full-stack development to link up inspection data between SPI, AOI and AXI machine for Industrial 4.0 Big Data Analytics Platform.

Assumed the role of testing the company’s application thoroughly before its deployment in a live production environment.

Facilitated brainstorming sessions aimed at ideating strategies to enhance the company application.