Experience

Deel

• United States
• Human Resources Services
• 700 & Above Employee

• Software Engineering Team Lead

  • Jun 2021 - Present

• Software Engineer

  • Oct 2020 - Jun 2021



Bloomberg LP

• United States
• Financial Services
• 700 & Above Employee

• Senior Software Engineer

  • Aug 2017 - Oct 2020

  I worked as a member of the Communications Channels engineering team. The main responsibility of my team is to renovate and maintain the messaging distribution pipelines that facilitate two of the most widely-used communciation products in IB and MSG.During my time here I worked as a scrum master for the team, and also took part in projects such as- re-architecturing IB and MSG distrubtion systems,- re-designing and implementing user presence systems with C++, Python, and Kafka- adding new features to the IB application,- reworking IB integration with other Terminal functionsOn the job I primarily used C++ and Python on a day to day basis, leveraging other technologies such as Kafka, Protobuf, Docker, and Cmake for our projects and testing.



FundApps

• United Kingdom
• Software Development
• 100 - 200 Employee

• Software Engineer Intern

  • Apr 2016 - Sep 2016

  Spent 6 months working at a Fintech startup, projects/products worked on include:- Market Data Service written in F#.- Notification Service written in Golang and C#. - Data Analytics Tool written in Python. Spent 6 months working at a Fintech startup, projects/products worked on include:- Market Data Service written in F#.- Notification Service written in Golang and C#. - Data Analytics Tool written in Python.



Imperial College London

• Research Services
• 700 & Above Employee

• Undergraduate Research Assistant

  • Jul 2015 - Sep 2015

  Undertook an 8-week individual project working with the DAKOTA toolkit and existing research frameworks to carry out automated optimisation and uncertainty analysis. Used Python to interface frameworks and to create graphical data-analysis tools, and worked with College’s High Performance Computers using MPI. Undertook an 8-week individual project working with the DAKOTA toolkit and existing research frameworks to carry out automated optimisation and uncertainty analysis. Used Python to interface frameworks and to create graphical data-analysis tools, and worked with College’s High Performance Computers using MPI.