Maintained services used to acquire over 7 billion data points on a nightly basis through highly available, distributed system

Supported services via weekly on-call shifts

Developed team’s continuous deployment pipeline using Jenkins

Worked on team responsible for delivering time series data to service relied on by several teams for use cases such as generating portfolio performance reports, calculating portfolio performance attribution for large funds and daily publication of global benchmark indices like the Bloomberg Fixed Income Indices

Maintained and developed distributed backend system (C++/Python) for the daily acquisition and computation of descriptive and analytical securities data for use in the Bloomberg Index Products and PORT<GO> (portfolio and risk management product) in the Bloomberg Terminal

Participated in three-month training in various software engineering topics, including UNIX, git, databases, JavaScript/C++/Python, middleware, testing, deployment and other Bloomberg technologies

Tech: C++, RapidJSON, Python, Jenkins, Bash, Jupyter notebooks, Pandas, git, other in-house technology for databases and services

Mentored and taught programming concepts, debugging techniques, and

Led weekly technical interview prep of algorithms for senior cohorts

Worked as project manager and technical mentor to 2 student projects,

Gave each student assignments from his/her personalized curriculum

Taught mathematical concepts using the Mathnasium method

Tutored students on their schoolwork

Took detailed notes during each students' session.