• Led the migration of Infor SyteLine from version 8 to 10, including redesigning and customizing forms, workflows, and reports to meet specific business requirements.

• Developed internal tools using Java Spring Boot MVC in a 3-tier architecture.

Used SQL Server as the main database with Java Spring Boot, integrated Kafka for real-time data streaming, and implemented Redis for distributed caching as an efficient temporary data store for optimized data handling.

• Collaborated with stakeholders to design and implement a user-friendly interface and backend system, aligning with

business requirements and enhancing operational efficiency

• Created and deployed Python scripts using OpenCV for image processing on Raspberry Pi 4 with multiple Industry Cameras, automating quality inspections and validating over 1 million parts per week

• Used SQL Server as the main database with Java and jOOQ for SQL queries, and integrated Google Sheets as a secondary database through the Google Sheets API for efficient data handling.

• Utilized Langchain, CrewAI, and Autogen tools to generate agents and agent swarms, demonstrating proficiency in Python programming by scraping data from the web with Selenium and calling external APIs.

• Applied design patterns to solve common problems and optimize the architecture of the microservice, improving system efficiency and maintainability.

• Contributed to CrewAI with 3 pull requests merged to their LLM agent workflow.