Gjeta Gjyshinca

Gjeta joined Morgan Stanley as a technology graduate in 2016.

She has since been working on a platform that automatically parallelises user code, moving concurrency and execution concerns out of the type system and into the runtime itself. She works on the most difficult parts of this complex programming framework, which supports the work of 500 application developers (who in turn support most of the firm’s fixed income business).

In the last year, Gjeta has presented the technology at Scala Exchange in London twice, and Scala Days in Berlin and New York. One of her current projects is to develop and deploy automated Profiler Guided Optimization across all grid applications. She has worked with officers across the infrastructure and application teams to make this possible. This project will result in millions of dollars per year in hardware cost savings.

Gjeta also makes a huge contribution to recruitment and volunteering. She was instrumental in expanding the Computing at Schools effort to cover Computer Science GCSE classes at seven local schools. Gjeta’s volunteering has gone far beyond Tower Hamlets – she has travelled to Ghana twice with a charity called Global Code to teach university students to program Raspberry Pis as part of a three week summer school.

Gjeta graduated from Bristol in 2015 with a First Class Masters in Maths & Computer Science. That summer, she worked briefly as a journalist in Kosovo, winning the United Nations Kosovo Team Journalism Poverty Prize for an investigative article into the state of social housing in Prishtina. She returned to the UK to join Rare, a diversity recruitment company, as a research analyst working on the Contextual Recruitment System (CRS). Her role focused on gathering and processing data to be used as input to the CRS, and analysing data on candidate applications and success rates from clients who had been using the system in its first year. She presented this research at Clifford Chance in London, demonstrating the positive impact that the technology had had on the success rates of disadvantaged candidates. When Rare was asked to build the CRS for an Australian firm, Allens, Gjeta led the research, and travelled to Sydney to launch the system itself and train senior recruiters in using the technology and interpreting the contextualised candidate information it could provide.