Built and scaled mission-critical services for loan processing and trade simulations using Java (Spring Boot), Python (FastAPI), and Golang. Developed a high-frequency trading simulator in Python and Go, processing real-time L2 orderbook data over WebSocket and applying models like Almgren-Chriss, slippage, and fee prediction. Reduced API latency by 35%+ using async programming, optimized SQL queries, Redis caching, and connection pooling. Designed a fraud detection engine in Golang using Kafka streams, Goroutines, and Redis, handling millions of financial events daily. Ensured observability and traceability via Prometheus metrics, Grafana dashboards, and centralized logging.