About

Robert Manschke
Robert ManschkeLondon · open to the world

Robert Manschke

I have worked on hardware-accelerated path planning at Continental, insurance software at BITSIDE, hypervisor and CPU-platform engineering at Amazon Web Services, and machine-learning research at Queen Mary University of London and King’s College London.

Today, I’m a PhD researcher in the EPSRC DRIVE-Health programme at King’s College London, supervised by Angus Roberts and Julia Ive. Before this, I worked on hypervisor and CPU-platform engineering at Amazon Web Services. I also co-founded Cosy Futures and contribute data-science learning material at FourthRev.

I hold an MSc in Artificial Intelligence with Machine Learning from Queen Mary University of London, and a BSc in Applied Computer Science from NORDAKADEMIE. Outside work: dogs, travel, food, transport and energy.

Contact

Work history

Experience

  1. Oct 2025–present

    King’s College London

    PhD researcher · fully funded

    Generative sequence models for healthcare in the EPSRC DRIVE-Health programme, supervised by Angus Roberts and Julia Ive. Doctoral research in progress.

    Institutional research profile
  2. 2025–present · part-time

    Cosy Futures

    Co-founder & technical lead

    LLM-powered civic-participation prototype; questionnaire, generation and application engineering.

    Organisation website
  3. 2025–present · part-time

    FourthRev

    Subject-matter expert, data science

    Data-science course development and review, including practical Jupyter notebooks.

    Organisation website
  4. Feb 2023–Sep 2025

    Amazon Web Services

    Software development engineer

    Core hypervisor and CPU-platform work, including Linux kernel backports and assembly/register-level debugging.

    Organisation website
  5. Oct 2021–Mar 2023

    BITSIDE GmbH

    Software engineer

    Java / Spring Boot services, PostgreSQL and Vue.js / TypeScript interfaces; insurance legacy-system modernisation.

    Organisation website
  6. Oct 2017–Mar 2021

    Continental AG

    Software engineer · dual student

    Web and database integrations, C# applications and hardware-accelerated autonomous-driving path planning.

    Organisation website

Education

University background

Jan 2022–Jan 2023

Queen Mary University of London

MSc Artificial Intelligence with Machine Learning · Distinction

Neural architecture search, with transfer to image captioning.

Oct 2017–Sep 2021

NORDAKADEMIE

BSc Applied Computer Science

FPGA-accelerated, vehicle-aware path-planning thesis.

Get in touch

Email me