Tech Director
Currently managing the CDC data pipeline and data systems, ML model training and serving pipeline, GPU expansion, and operations.Taking tasks to explore, research, and introduce tools suitable for a scalable multi-country business from the initial system construction, and operates to ensure that products are delivered quickly.Mainly using Pytorch, FastAPI, Spark, Databricks, Airflow, BigQuery, and Kafka.Most of the ML infrastructures are covered by IaC (using Terraform) including Databricks and Confluent.Focusing on various ML Engineering tasks for In-Context Learning and Fine-tuning for Large Language Model (LLM), and driving product development (as Product Owner) Also exploring and adopting data systems, preparing governance/operational policies, and engineering frameworks for privacy.There are many concerns about what data to collect and process to enable scalable AI services and how to manage personal information.