• Designed and implemented a scalable, production-ready infrastructure and data pipeline for extracting, transforming, and loading (ETL) training data• Leveraged orchestration tools such as Kubernetes, Amazon ECS, AWS Batch, and AWS Step Functions to automate deployment, scaling, and management of microservices and jobs• Implemented an event system using Amazon SQS, Amazon SNS, Apache Kafka, and AWS Lambda to ensure fast, reliable, and persistent data transmission and alerting across… Show more • Designed and implemented a scalable, production-ready infrastructure and data pipeline for extracting, transforming, and loading (ETL) training data• Leveraged orchestration tools such as Kubernetes, Amazon ECS, AWS Batch, and AWS Step Functions to automate deployment, scaling, and management of microservices and jobs• Implemented an event system using Amazon SQS, Amazon SNS, Apache Kafka, and AWS Lambda to ensure fast, reliable, and persistent data transmission and alerting across services• Conducted security assessments and continuously monitored systems and services, and implemented standard security practices to mitigate risks• Designed and deployed a hybrid infrastructure combining cloud and on-premise environment, enabling reliable data transmission and processing• Designed “nFlux in a Box” (NIAB), a compact computing solution for lightweight or proof-of-concept deployments, resulting in an increased deployment speed• Configured and maintained on-premise IT infrastructure, including hardware, networking, and security Show less