Milton Keynes, England, United Kingdom
I enjoy solving ambiguous problems at the intersection of technology, product and business. Throughout my career so far, I’ve repeatedly found myself translating technical complexity into clear decisions, whether that meant building tools engineers actually wanted to use, leading cross-functional programmes, or helping decision-makers navigate uncertainty. During my placement at Leonardo, I built a Python automation tool that reduced RF test cycle time by 75%, led delivery of an RF Switching proof-of-concept to TRL 4, and presented recommendations to Chief Engineers and programme leadership. My final-year research developed uncertainty-aware scheduling tools for satellite observations, using Monte Carlo methods and linear covariance analysis to support operational decision-making. I’m now joining AlphaSights as an Associate Product Manager, where I’m excited to build products that combine technical depth with commercial impact while continuing to develop as a product leader.
Representing the Department of Aeronautics at undergraduate open days and outreach events, engaging with prospective students and their families. Lead tours of departmental laboratories and teaching facilities, sharing personal experiences of the MEng programme, research opportunities and student life. Advised prospective students and families on academic pathways, placements and careers, helping applicants make informed decisions about studying at Imperial.
Worked across qualification, verification and systems delivery for advanced RF programmes, taking ownership of cross-functional initiatives spanning engineering, testing and stakeholder engagement. Key Contributions: * Built and deployed Python automation solution reducing test cycle time by 75% — directly improving programme delivery for a defence-critical system * Led cross-functional intern team as Scrum Master across engineering, design, test and operations — delivered proof-of-concept from problem definition to TRL 4 with formal PDR/CDR sign-off * Gathered and analysed complex stakeholder requirements; formulated hypotheses and developed data-backed recommendations presented to Chief Engineers and senior leadership * Winner, RAeS Young Person Lecture Competition 2025 — communicated complex technical findings to senior mixed audience
Guiding students ranging from year 9-11 through the GCSE Maths and Physics courses, bolstering their confidence and attainment in these subject areas.