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Asif Mulla
Mid-Level Software Engineer specializing in Java microservices and event-driven systems
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About
Backend engineer on Morgan Stanley’s trade risk and compliance platform, building Java/Spring Boot microservices that validate equity and fixed-income trades at multi-million-events/day scale. Shipped an LLM-assisted trade exception analysis feature using RAG over internal policy documents and trade history, with production-grade guardrails (confidence thresholds, audit logs, human-in-the-loop) and measurable performance wins (~30–35% faster reporting) through PostgreSQL tuning and Redis caching.
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Key Strengths
- Built and operated high-volume trade risk/compliance backend (2–3M Kafka trade events/day)
- Diagnosed and fixed peak-hour latency via PostgreSQL execution-plan analysis, composite indexing, and Redis caching
- Improved reporting/query performance ~30–35% without scaling infrastructure
- Strong production observability practices (Prometheus/Grafana dashboards, CloudWatch/Splunk alerting)
- Designed and shipped LLM-assisted trade exception analysis with RAG, prompt design, and response validation
- Implemented AI guardrails: confidence thresholds, fallbacks to manual review, audit logs, and document versioning
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