Continued advancement of our Floor and Index services with a focus on global growth and expansion. Index platform growth opportunities and solutions were as follows:● Advancement of index platform to 24x7 dissemination● Migration of European Indices into common global index platform● Exposure of Contributor API allowing external customers the ability to submit index values over WebSocket● Expansion of system health and monitoring with Prometheus and Grafana support

Responsible for overseeing both Floor Trading and Index Applications. Design and lead distributed microservice index platform focused on determinism and event driven messaging. The new index system calculates real-time index levels across multiple data centers expecting 100% accuracy. Portfolio and expiration rebalanced moved from a manual process to a systematized process under the new platform. System self monitors values in real-time to notify operations of possible calculations not in sync. Regression testing with each commit allowing developers to have comfort which design changes● Event driven applications using Kafka and Kafka Streams library● Highly scalable and fault tolerance design to avoid human intervention during process outages● Responsible for capturing all data inputs for tick-by-tick levels calculated for audit and support● Migration of VIX calculation from legacy system into new index platform, improving accuracy and reporting.● Migration of calculation from legacy index platform into new system to improve quality of calculations and expand internal support of system.● BDD regression tests build using Cucumber frameworkAs part of Cboe / BATS migration, the team was responsible for supporting and migration of trading floor applications from legacy command to new Cboe Tech. ● New backend process written in C++ responsible for interface with matching engines to trading floor● Web-driven interface allowing traders and updated design and new user experience build with Java backend and ReactJS frontend● Fault tolerance support built in with support of load balances for user access

During the last year, the main focus was to design, create and manage CBOE’s new CFE exchange called Vector. Vector is a high frequency, low latency trading application with SLAs of 25 µs response times, and 5 µs within the match engine - zero garbage requirements for all high frequency path applications. Prior to this effort, focus was on performance improvements and management of personnel for CBOE Command.● Assisted with design and development of all Vector Business applications withconcentration on Vector’s match engine SET● Introduced SBE (Simple Binary Encoding) software for all Vector APImessages● Managed performance testing including monitoring of high frequency pathapplications● Suppressed garbage collections for high frequency path applications usingtools like JProfiler and Eclipse MAT● Designed fast failover for trading application for high availability of tradinghost● Introduced LMAX Disruptor to CBOE Command platform to all inbound /outbound streams to trade engine - improving latency and ‘first in, first out’semantics for order processing● Managed maven configuration for all business side application● Managed configuration of Continuous Integration (CI) processes● Orchestrated the use of Docker to facilitate testing of all CI and personalcomponent testing with virtualized containers to reduce costs of physicalhardware● Created CBOE Ubuntu Live CD to jumpstart development PCs for allemployees● Managed release and integration branches across all of Vector● Managed Support staff during on-call rotation● Defined CBOE checkstyle format for readability and consistency for Vectorsource

Main focus was on latency across all applications, either by reducing dependencies on legacy applications, or redesigning existing applications to improve performance. ● Removed dependency to ‘JGrinder’ database framework for increase ofsystem availability● Redesigned order flow for CBOE’s Option Exchange with ‘order capacity’project to improve overall latency, consistency● Worked with latency team to remove contention points in the system whichcaused ‘jitter’ in overall response● Reduced latency in CBOE’s Future Exchange during ‘Order Capacity’ Projectrouting messages directly to trade engine● Reduced dependency on legacy server systems with PAR Server / Adapterelimination● Introduced Cross-Product Spread trading into the CBOEdirect system

Continued effort to maintain floor based server applications through the Order Expansion project that allowed all internal size fields to increase from 5 to 10 digits to accommodate larger volumes processed by the floor systems. Increased CBOE’s system availability during outage situations by reducing failover times with fast-failover project in CBOEdirect.

Reduced cost through system innovation including new PAR and MMHH (Market Maker Handheld) adapter software. New adapters allowed CBOE to transition from their legacy-based system, TPF, to the distributed system using the hybrid model. Began work on the C2 exchange with development in the CBOEdirect process.

Provided ongoing system support and functional enhancements to floor based applications. Took part in enhancing CBOE’s floor based Java printer application HAPS.

Additional functionality / support to floor based systems, including the addition of stop limit orders and delta neutral complex order support. Performance modifications to trading floor overhead displays to the PDS system written in C++.

Lead developer on two trading floor applications written in C. PAR and BART server applications were maintained to provide high availability of service during business trading hours. Modifications included support for Linkage and Complex orders.