Maintain and Operate the head product of Vbee - AIVoice Studio (1 millions++ users)- Research and implement Observability for the underlying micro-services system.- Optimize and resolve bottlenecks in Back-end architecture.- Analyze and refactor for performance tuning and scalability for the workflow of Text to Speech, briding between R&D and Webapp teams.

Develop and Operate products related to Text to Speech technology- Develop realtime API to convert text to speech, used for in-bound Callbot system- Design architecture and develop micro-services to adopt GPU-based compute on Cloud to process Text to Speech as POC with AWS Vietnam. Earned total credit of $5000 in 2 phases.

Develop and Operate products related to Speech To Text (STT) technology- Develop realtime streaming API for Callbot product using mixed of gRPC and Media RPC protocol.- Maintain middleware system to communicate with core Natural Language Processing (NLU) and STT towards responding to Callbot's enduser.- Develop MVP WebApp for demo use, allowing user to record voice and transcribe realtime.

Design and Implement containerized deployment platforms for 2 banks in Vietnam (SeABank and ABBank)Including: - On-premise Kubernetes based on Rancher distribution, - Monitoring using ELK Stack, - Optimized Docker build for more than 20 microservices (Spring Boot and FastAPI)- Seamless and Centralized CI/CD control using Jenkins, Gitlabs, SonarQube, Nexus