- Develop serverless service to analyze the voice call transcript. Helping the clients getting more insights about the sales and customer througout 100 voice calls daily.- Utilizing LLM (Large Language Model) technology to enhance user experience. Leading to 10% higher client rentention.- Develop message blasting feature up to 50,000 contacts through WhatsApp. Continuously optimizing the blasting performance up to 30% better.- Develop conversation summarization feature for resolved conversation. Client can save up to 2 hour in understading the context of conversations.- Develop, design and integrate REST and GraphQL API to extend the usage and functionalities of the system.- Contribute creative ideas to escalate the user experience on the product, shipping the features following the timeline in decent manner.- Involved at different phase in SDLC. Providing guidance and opinions to others.- Writing unit tests and high quality code to ensure the product has minimal bug.

- Develop PL/SQL script to help automate learning model accuracy checking on cloud database server e.g. Oracle and PostgreSQL. This project has improved the efficiency on accuracy checking tasks which were previously done with Excel. Saving 3+ hours on team members in handling the process.- Provide forecast analysis based on requirements to the services and consultant departments in different country. Required to meet the demand and quality of analysis as well in given time to provide accurate information on potential cell tower expansion.- Develop models which predicts the traffic growth trend for the new added cells to provide accurate forecast for business decision. Implement the developed models as a new modules into the internal prediction system.