Senior Backend Engineer (Python / Django) specializing in payments and fraud detection. Building high-availability transaction platforms, fraud detection systems, and real-time streaming pipelines.

• Payments at scale — high-availability transaction systems, idempotency, reconciliation, and resilient integrations.
• Fraud detection — rule engines and signal pipelines for catching anomalous transaction patterns.
• Real-time analytics — streaming and time-series pipelines with FastAPI · TimescaleDB · Kafka.
• AI / LLM backends — retrieval-augmented systems and LLM-driven agents wired into production services.

Core

Infra & tooling

• paydocs-rag (in progress) — a RAG demo over payment documentation: retrieval pipeline, embeddings store, and an LLM query layer. Not public yet; release planned.
• Deep-diving event-driven payment architectures and real-time fraud signals.