Experience

Fei Labs

• Technology, Information and Internet
• 1 - 100 Employee

• Engineer

  • Feb 2022 - Oct 2022



nPlan

• United Kingdom
• Software Development
• 1 - 100 Employee

• Software Engineer

  • Mar 2021 - Jan 2022



Aztec

• United Kingdom
• Software Development
• 1 - 100 Employee

• Software Engineer

  • Nov 2019 - Nov 2020

  Full stack software engineer at a startup building a VISA scale payments network using zero-knowledge cryptography proofs

• Junior Software Engineer

  • Nov 2018 - Nov 2019



Imperial College Centre for Cryptocurrency Research and Engineering

• London

• Undergraduate Research Assistant

  • Aug 2018 - Sep 2018

  Paper accepted to the ‘1st Symposium on Cryptocurrency Analysis' (https://socca.science/), 2018 in Toulouse, France - workshop at PERFORMANCE 2018. Paper link: https://eprint.iacr.org/2018/1062 Title: "DAGsim: Simulation of DAG-based distributed ledger protocols" Paper accepted to the ‘1st Symposium on Cryptocurrency Analysis' (https://socca.science/), 2018 in Toulouse, France - workshop at PERFORMANCE 2018. Paper link: https://eprint.iacr.org/2018/1062 Title: "DAGsim: Simulation of DAG-based distributed ledger protocols"



Imperial College Union

• United Kingdom
• Higher Education
• 100 - 200 Employee

• Student Trustee, Board of Trustees

  • Aug 2017 - Aug 2018

  Trustee of a charity with approx. £9 million turnover and 60 FTEs. Helped provide strategic direction to deliver ICUs strategy, in part through membership of the Finance and Risk Subcommittee

• President - Imperial College Physics Society

  • Aug 2016 - Jul 2017

  • Led a team of 10, representing a society of 1300+ members • Achieved recent funding record - through sponsorship arrangements, with 5 organisations, and negotiations with the Imperial Physics department • Guided organisation of socials, lectures, careers events, lab tours and an undergraduate conference (~150 attendees). Oversaw tours to NPL, JET and internationally; Prague



Imperial College High Energy Physics Group

• London, United Kingdom

• Towards the detection of Japanese Knotweed using machine learning

  • Oct 2017 - May 2018

  Won the Tessella Prize for Software 2017/18 - best computing based MSci project in the Imperial Physics department (of 150 students). MSci thesis based on the development of a deep learning based tool that can automatically detect a particular plant species from UAV multispectral aerial imagery - using convolutional neural networks and convolutional autoencoders. Specifically: • Led a team towards developing an end-to-end CNN tool for plant detection from multispectral UAV… Show more Won the Tessella Prize for Software 2017/18 - best computing based MSci project in the Imperial Physics department (of 150 students). MSci thesis based on the development of a deep learning based tool that can automatically detect a particular plant species from UAV multispectral aerial imagery - using convolutional neural networks and convolutional autoencoders. Specifically: • Led a team towards developing an end-to-end CNN tool for plant detection from multispectral UAV imagery • Gathered an RGB + NIR London vegetation dataset using a DJI Phantom 4, and collaborated with the Welsh Gov. Cartography department to secure access to a multispectral Welsh aerial imagery dataset • Implemented a convolutional autoencoder, W-Net, with Keras and Python to perform unsupervised segmentation • Used a U-Net CNN for supervised image segmentation on a test dataset, achieving detection accuracies of 61% Show less Won the Tessella Prize for Software 2017/18 - best computing based MSci project in the Imperial Physics department (of 150 students). MSci thesis based on the development of a deep learning based tool that can automatically detect a particular plant species from UAV multispectral aerial imagery - using convolutional neural networks and convolutional autoencoders. Specifically: • Led a team towards developing an end-to-end CNN tool for plant detection from multispectral UAV… Show more Won the Tessella Prize for Software 2017/18 - best computing based MSci project in the Imperial Physics department (of 150 students). MSci thesis based on the development of a deep learning based tool that can automatically detect a particular plant species from UAV multispectral aerial imagery - using convolutional neural networks and convolutional autoencoders. Specifically: • Led a team towards developing an end-to-end CNN tool for plant detection from multispectral UAV imagery • Gathered an RGB + NIR London vegetation dataset using a DJI Phantom 4, and collaborated with the Welsh Gov. Cartography department to secure access to a multispectral Welsh aerial imagery dataset • Implemented a convolutional autoencoder, W-Net, with Keras and Python to perform unsupervised segmentation • Used a U-Net CNN for supervised image segmentation on a test dataset, achieving detection accuracies of 61% Show less



Boston Consulting Group (BCG)

• United States
• Business Consulting and Services
• 700 & Above Employee

• Summer Associate

  • Jul 2017 - Aug 2017



Imperial College, Blackett Laser Consortium

• London, United Kingdom

• Development of a novel femtosecond laser pulse signal processing device

  • Jan 2017 - May 2017

  BSc thesis on the development of a novel femtosecond laser pulse ultrafast signal processing device, to measure the effect of gas pressure, in a hollow fibre femtosecond laser, on pulse energy fluctuations BSc thesis on the development of a novel femtosecond laser pulse ultrafast signal processing device, to measure the effect of gas pressure, in a hollow fibre femtosecond laser, on pulse energy fluctuations



Ulsan National Institute of Science and Technology

• South Korea
• Research Services
• 100 - 200 Employee

• Undergraduate Researcher

  • Jun 2016 - Aug 2016

  • Collaborated with a multi-disciplinary team of researchers to help advance a proof of concept, sign language translating exoskeleton glove • Developed MATLAB hand gesture recognition scripts – based on pattern matching glove flex sensor values to a custom-built database • System has since attracted angel investors • Collaborated with a multi-disciplinary team of researchers to help advance a proof of concept, sign language translating exoskeleton glove • Developed MATLAB hand gesture recognition scripts – based on pattern matching glove flex sensor values to a custom-built database • System has since attracted angel investors



MBDA

• Defense and Space Manufacturing
• 700 & Above Employee

• Electro Optics and Countermeasures Undergraduate Engineer

  • Jul 2015 - Sep 2015

  • Characterised a complex optical system, drawing on specialisms of engineering team • Developed advanced electro-optics and MATLAB data analysis skills • Characterised a complex optical system, drawing on specialisms of engineering team • Developed advanced electro-optics and MATLAB data analysis skills