Working on the reliability engineering team within post-trade systems. Focused on building observability systems and other tooling to support engineering and business teams.

Worked as a senior engineer on the Observability team, focused on scaling the centralized logging infrastructure and developing tools for other engineers to exploit the benefits of logging. Also provided a supporting role for centralized service metrics.

Worked as an engineer on the Observability (formerly Metrics) team, responsible for architecting the centralized logging infrastructure and developing tools around the logging pipeline.

(2011-2013) Developed internal Bloomberg applications used to support database

engineering. Focused heavily on building the infrastructure for large data collection and

aggregation of database time-series metrics. Developed an intuitive and powerful UI to

present the data to application developers. Primary languages included C/C++/JavaScript

with shell/Perl scripting taking a secondary role. Proprietary familiarity with C++ service

frameworks providing the business logic layer between data storage (proprietary RDBMS

with SQL APIs) and user interface control.

(2013-2015) Application developer within Systems Infrastructure, building tools for

collection and analysis of application services data. Heavy focus on OOP in C++ with

secondary emphasis on JavaScript and Python. Helped integrate open source software

within Bloomberg to provide a centralized log indexing and searching system, with the

data pipeline consisting of Logstash, Elasticsearch, Redis, and Kibana. Familiarity with

Ruby, nodejs, and HTTP RESTful APIs.

Researched theoretical and experimental implications of parameter estimation of gravitational waveforms emitted from spinning, binary black-hole systems. Developed a method for estimating the second-order error in matching the analytical solution of the gravitational waves to an experimentally detected signal embedded in Gaussian-distributed noise.