Led end-to-end ML engineering for an AI-powered language-learning platform. Built containerized services and scalable ML inference pipelines on AWS using Docker and Kubernetes. Implemented asynchronous processing to reduce service file handling times and improved real-time ML inference speed with PyTorch and TensorRT. Designed and deployed a distributed training queue, automated data annotation, and unified observability across ML pipelines. Standardized development/deployment processes with GitLab CI/CD and delivered rapid PoCs to demonstrate product value and secure funding.

Back-End Engineer at Inov Software Engineers

February 1, 2022 - January 1, 2025

Backend engineer contributing to Elsa Speak platform; designed and implemented ML inference pipelines using Python, PyTorch, and TensorRT; reduced service latency with asynchronous processing; improved data annotation workflow; built scalable CI/CD pipelines; enabled rapid adoption of new ML techniques.

Software Engineer at Elsa Speak

January 1, 2025 - Present

Platform development focusing on speech analysis features to help users improve English pronunciation, fluency, and speaking skills.

Software Engineer at Inov Software Engineers

February 1, 2022 - January 1, 2025

Software engineer delivering backend services and ML pipelines; improved real-time ML inference pipelines and reduced file handling times through optimized processing; designed and deployed containerized microservices on AWS with Docker and Kubernetes; established unified observability and automated testing in GitLab CI/CD; contributed to reducing infrastructure costs and increasing system reliability.