At Radware, I build backend systems for a multi-tenant bot-security analytics dashboard serving 10k+ enterprise clients. I design Django and FastAPI services that deliver sub-second, role-aware results across datasets exceeding 500 GB.
I reduced BigQuery costs by about 70% and median API latency from roughly four seconds to 400 ms by building an event-driven Celery ETL pipeline with Elasticsearch. I also improved analytics API throughput by about 3× through async FastAPI architecture and reduced compute spend by about 40% with Cloud Run and Cloud Functions.
Earlier, I delivered Django APIs for an EdTech fee-management SaaS and built medical-document ETL, OCR, and search workflows at Medilenz. I enjoy designing reliable distributed systems, improving performance, and mentoring engineers on async patterns, data modelling, and service boundaries.
