Teams at Flinks

Own and ship production ML models end-to-end: problem framing, model design, training pipelines, deployment to served endpoints, and model-quality monitoring. Design experiments, detect drift, run champion-challenger evaluations, and partner with Data Engineering, backend, product and QA to integrate model outputs that drive business outcomes in fintech.

Build, own, and evolve Flinks' data and ML platform: BigQuery/dbt pipelines, Airflow ingestion, Kubeflow/Vertex training, model serving, governance, observability, and cross-team data contracts to support production ML and analytics at scale.