David G Khachaturov
GitHub

EDUCATION

PhD in Computer Science, University of Cambridge
2022-2025
MSc in Advanced Computer Science, University of Oxford
  • Grade: Distinction
  • Dissertation: "Portable, Low-Cost, and Low-Power mmWave Radar Imaging for Concealed Weapon Detection" supervised by Professor Kasper Rasmussen; IP patented and registered with Oxford University Innovation Limited
2021-2022
BA (Hons) in Computer Science, University of Cambridge
  • Grade: Class I (ranking 8/120)
  • Dissertation: "Susceptibility of Hierarchical Reinforcement Learning to Adversarial Examples" supervised by Dr Ilia Shumailov and Dr Dmitry Kazhdan
2018-2021
A-levels, St Paul’s School, Barnes
  • A*A*A*A* – Mathematics, Further Mathematics, Computer Science, Physics
2016-2018

SELECTED PUBLICATIONS

Tiered Anonymity on Social-Media Platforms as a Countermeasure against Deepfakes and LLM-Driven Mass Misinformation
David Khachaturov, Roxanne Schnyder, Robert Mullins
In-review
Adversarial Suffix Filtering: a Defense Pipeline for LLMs
David Khachaturov, Robert Mullins
Pre-print
Controllable and explainable personality sliders for LLMs at inference time
Florian Hoppe, David Khachaturov, Robert Mullins, Mark Huasong Meng
In-review
Markpainting: Adversarial Machine Learning meets Inpainting
David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson
ICML 2021

ENTREPRENEURSHIP

Co-Founder at studysesh®
  • Education for an technologically-enabled world
October 2025 - present
Founder and Developer at mazette!
  • Video game porting and publishing for mobile and console markets
June 2021 - 2024

WORK EXPERIENCE

Lead AI Security Researcher, FrontierOne
  • Sovereign AI
March 2026 - present
Computer Science Tripos Supervisor, University of Cambridge
  • Taught courses: Machine Learning and Real-world Data; Software and Security Engineering; Data Science; Economics, Law and Ethics; Security; Computer Networking; Bioinformatics; Information Theory
  • 150 groups, 500 hours. Further details on my department page
October 2021 - present
Software Architect at Qeios
  • Contract work for building cool new systems
August 2025 - March 2026
Machine Learning Researcher at OpenAI
  • Contract ML research work
January - May 2025
Research Intern at Computer Laboratory, University of Cambridge
  • Supervised by Professor Ross Anderson and Dr Ilia Shumailov
June – September 2021
Intern at Seamless Capital
December 2020
Software Development Intern at IMC Trading
  • Return offer received
June – August 2020
Machine Learning Intern at Speechmatics
  • Research and development of machine learning for NLP in Pytorch and Tensorflow
June – September 2019

AWARDS & INTERESTS

  • Languages: native-level Russian and English
  • Was part of re-invigorating the Cambridge Caledonian Society in 2023-25, including conducting history research and creating the new website
  • CyberCenturion, national UK cyber-security competition - 2018 runner-ups, 2017 winners
  • BAFTA’s Young Game Designer 2017 finalists
  • Schools Aerospace Challenge 2017 runner-ups
  • Golf: Since 2013, National Maltese Junior Champion 2016