AISHWARYA S V

zentropy technologies·Full-time

Designed and built the full data architecture for an end-to-end compliance platform enabling traders to request and manage approvals for IPO and follow-on equity offerings. Built a GraphQL WebSocket client to subscribe to a real-time financial data provider feed, extracting live market data and publishing events to Apache Kafka topics. Developed a Kafka consumer service to process incoming market data messages, apply transformation logic, and persist structured data to the database. Built a .NET MVC REST API that reads processed data, caches it in Redis for low-latency access, and orchestrates the compliance approval workflow — routing IPO/follow-on requests between traders and compliance officers. Contributed to an Angular front-end where traders submit compliance requests for IPO and follow-on transactions, view deal status, and track approval workflows in real time. Maintained Order Management System (OMS) and Position Management System (PMS) supporting live trading across equities, options, and futures using FIX protocol for real-time order execution and routing. Implemented MVC-pattern backend services in .NET and Python to serve trade blotters, P&L views, and compliance rule checks across multi-asset portfolios. Managed end-to-end deployment pipeline using Git, BuildMaster, IIS, and CI/CD workflows; automated batch job scheduling using Autosys for overnight processing and reconciliation. Contributed to MONIS, an in-house risk analytics tool, writing DTT (Data Transformation and Testing) logic for derivatives and equity risk calculation pipelines. Currently building a RAG-based AI assistant using Claude (Anthropic) and GPT APIs, connected to internal financial databases via MCP (Model Context Protocol) in Python — enabling agentic, natural language querying of trade and position data.