Avanti Kulkarni

FactSet EMS (FX) is a fully customizable low-latency, high-frequency trade-management and execution platform for electronic foreign-exchange trading. It delivers best pricing in a single view by aggregating quotes from multiple ECNs and banks, enabling access to global liquidity and next-generation algorithmic strategies.

• Lead globally distributed engineering teams across New York, London, and Hyderabad to deliver mission-critical, revenue-generating FX trading solutions in a multi-threaded, high-throughput, low-latency environment.
• Architected and drove the end-to-end delivery of the FX Market Data Service (MDS) — a multi-tenant, cloud-native, real-time market-data platform built on Spring Boot, WebSockets, Redis, and AWS (FactSet.io). Acted as the technical driving force — owning architecture, design reviews, and implementation oversight — integrating both FIX-based broker feeds and API-driven inputs into a unified, normalized, low-latency backbone. MDS now powers all FX workflows globally, supports thousands of concurrent WebSocket sessions, and has reduced quote-delivery times by over 60%, establishing itself as a critical pillar of the firm’s FX technology stack.
• Conceived, architected, and delivered the Universal Adapter framework — a groundbreaking, configuration-driven solution that revolutionized FX broker onboarding and feature delivery. This highly extensible, plug-and-play framework unified diverse workflows —including multiple crucial flows—under a single architecture. The idea was entirely self-initiated: proposed, designed, and championed with senior leadership and product teams after decades of maintaining separate broker-specific adapters. Delivered successfully through a small team, the framework reduced onboarding timelines from 6–9 months to 1–2 days via XML configuration, eliminating redundant code and manual development. Introduced a secure XML upload component allowing certified configurations to be deployed instantly in production, enabling on-the-fly broker or feature upgrades without waiting for release cycles. This innovation had a direct impact on client onboarding, delivery speed, and satisfaction, empowering clients to access new brokers and features within days and establishing the foundation for all future FX integrations.
• Delivered the Smart Providers framework, a data-driven enhancement that allows clients to automatically trade with their top-performing banks based on live market and trade analytics. Integrated client analytics from JetStream to dynamically identify and auto-select top banks per currency pair, instrument, and quantity range within the trader’s deal pad. This solution enabled auto-RFQ execution and streaming workflows, eliminating irrelevant quotes and improving trading efficiency and client satisfaction for institutions like GIC and Invesco.
• Designed and implemented Prime Broker workflows, introducing end-to-end support for prime broker allocations across all trading flows. This critical initiative, executed by leading a two-person core team, enabled major brokers and clients who relied on prime broker models to adopt FactSet EMS for the first time — unlocking new market segments and revenue opportunities.
• Enhanced production stability through DST FX benchmark fixes, LIMA authentication refactor, and unified exception-handling and monitoring frameworks to improve resiliency and uptime.
• Hands-on leader in architecture, design, and technical implementation — owning reviews, performance tuning, and critical production decisions while shaping a high-performing engineering team through mentorship, accountability, and empowerment.

• development of cross-asset risk and pricing systems for FX and Fixed Income businesses, integrating real-time analytics and improving trade execution performance.
• Spearheaded modernization of PWM client platforms (Web, Desktop, Communication Hub) adding features like Trade Confirms, e-Signature, and e-Prospectus integration.
• Migrated monolithic systems to dynamic compute infrastructure improving scalability and reliability.
• Partnered with traders, quants, and product leads to optimize front-office workflows for latency, stability, and regulatory compliance.

• Designed and implemented low-latency electronic trading and mortgage calculation systems using Core Java and multi-threading.
• Delivered the Landing Page project for Barclays Mortgage Calculators, collaborating closely with business and ops teams.
• Enhanced equities trade upload and enrichment flow, improving throughput and reducing operational errors.

Built network automation and diagnostic components for enterprise routers and switches using Java and C++, enhancing system reliability and support efficiency.