Ayush Pratap Singh

I’m a Software Engineer with 1 year of experience building backend, data engineering, and event-driven systems for enterprise risk and compliance platforms. At Morgan Stanley, I contributed to Sentinel’s cyber-risk data platform and helped productionize a Kafka-based Policy-as-Code workflow for repository compliance evaluation.

I focus on reliable automation and production-ready engineering—architecting an end-to-end regression validation framework that reduced release validation time from 2–3 days to 5–7 hours, building Apache Airflow ETL pipelines with incremental (delta) processing (cutting runtime by 30–40%), and optimizing large-scale Neo4j inserts to reduce ingestion time. I also design AI features using LangGraph, LangChain, RAG, and vector search, including a multi-agent RAG assistant for cyber-risk documentation and score search.