A reliable, honest and enthusiastic individual, with excellent communication skills and good leadership qualities. I have the attitude and aptitude to logically solve problems as well as prioritise tasks and meet deadlines effectively and efficiently. Committed to bridging the gender gap in technology roles through running mentorship schemes and events for women.
Education
- 2014-2017
- BSc Computer Science, Birkbeck, University of London.
- 2003-2005
- 3 A-levels, Brooklands College, United Kingdom.
- 1998-2003
- 12 GCSEs, Heathside School, United Kingdom.
Professional Experience
- 2017-today
- Research Operations at DeepMind
- I initially started at DeepMind as a program manager and moved over to the Research Operations team in January 2019. My duties include delivering 1:1 coaching and mentoring, partnering with senior leadership to provide insights and analysis, scaling research efforts, managing team priorities and risks, general project management and internal product development.
- 2016-2017
- Software Engineer at Ravelin
- Duties included working with Ravelin's API, Go development, full-stack deployments, maintenance, and tracing customer queries back through Ravelin's systems to identify any data-processing issues buried within.
- 2015–2016
- Infrastructure Engineer at DueDil
- Duties included initial coverage of the internal IT helpdesk (give out credentials, sort hardware issues, etc). My remit then spread to include building internal tooling such as an LDAP/Github/server integration, and working on parts of the tooling around provisioning, managing, and tearing down infrastructure.
- 2015
- Cyber Intelligence Analyst at Digital Shadows (internship + conversion)
- Duties included identifying and investigating potential threats to clients, and providing actionable write up and assessment in the form of a written alert. This work consistently required accurate, time sensitive analysis of a range of potential threats, including data breaches, technical vulnerabilities and threat actor activity.
- 2013-2015
- Personal Assistant to HNWI (self employed whilst studying)
- Duties included managing a multi-million pound house renovation, including liaising with contractors, managing the project schedule, and anticipating potential blockers/risks and communicating these upwards. This role also involved diary management, organising travel, managing the housekeeper, research, and events management.
- 2012-2013
- Personal Assistant/Office Manager/Head of People at DueDil
- Duties included managing an office move, setting up HR best practices and hiring staff, liaising with VC firms and investors, attending and speaking at hiring events, assisting with customer helpdesk, and managing the diaries of both CEO and COO.
- 2012
- Executive Assistant to MD of EMEA at Facebook
- Duties included extensive diary management, facilitating client meetings, researching and writing executive summaries, organising complicated travel, and expense preparation and reporting. I was also involved in organising company-wide hackathons and arranging office events.
Personal Projects
- 2013-today
- Co-founder & Board Member, DevelopHer
- DevelopHer is a non-profit community dedicated to bringing women in technology together to create both opportunities and a network of support through events, workshops, and learning. We aim to develop careers, to develop confidence and develop change.
- 2013
- Seekr
- Seekr was an app created during a 48 hour hackathon. Our team created a map based event discovery app, using server side clustering and matching to detect and classify events of any size based on a realtime feed of social media from various sources. The map was populated from data gathered from Twitter, Instagram, Flickr as well as a photo capture interface in the app. We created an iOS application powered by a NodeJS + Elasticsearch API hosted in EC2 which was populated by a Laravel PHP application that gathered social media from external sources.
Publications
- 2018
- Max Jaderberg et al. "Human-level performance in first-person multiplayer games with population-based deep reinforcement learning" Jul 3, 2018. URL: https://arxiv.org/pdf/1807.01281.pdf