Highlights
- Led a team of 3 as scrum master and lead dev to build a product KPI dashboard in React and Django ORM.
- Designed and developed microservices serving real-time ML candidate-scoring predictions.
- Implemented ETL pipelines with Airflow to deliver production RDS data into S3 and Snowflake.
- Re-architected candidate scoring pipeline from REST to event-driven with Celery โ increased throughput by 50%.
- Improved scoring latency by 75% via LRU model cache, horizontal K8s autoscaling, and Redis caching.
Stack
PythonDjangoReactCeleryAirflowRedisKubernetes