Dmitry Kazhdan

About Me

Dmitry Kazhdan

Dr. Dmitry Kazhdan

AI Researcher & Builder

๐Ÿš€Senior Product Owner @ Revolut
๐Ÿ”ฌFormer Startup Founder & CPTO
๐ŸŽ“PhD Graduate in AI, Cambridge UK

๐Ÿ‘‹About Me

Current: Senior Product Owner at Revolut, figuring out how multi-agent teams of Human and AI agents (such as LLMs / MLLMs) can reach optimal outcomes and power the next generation of financial products.

Past: Ex-Co-founder & CPTO of Tenyks (YC S21), where I helped build Visual Intelligence AI products for real-time camera analytics in the Hospitality Industry. Yes, I've seen things. I've led teams through startup hellfire, built LLM/VLM products from scratch, and lived to tell the tale. Academically, I hold a PhD from The University of Cambridge in Explainable AI, where I happily wrestled with Concept-based Explanations across multiple modalities (expertly supervised by Prof. Mateja Jamnik & Prof. Pietro Lio). Spoiler: XAI doesn't solve the Evil AI problem - turns out, you need Explainable Humans for that too.

Outside of AI: As a film enthusiast, I'm paying close attention to AI video generation efforts (e.g. Veo). I used to play classical guitar (Grade 8 Distinction) and will happily nerd out over cinematography, sci-fi plots, and existential humour.

๐ŸŽ“Education

The University of Cambridge logo

PhD in Artificial Intelligence

The University of Cambridge

Enhancing Interpretability: The Role of Concept-based Explanations Across Data Types

2019 - 2023
The University of Cambridge logo

MEng in Computer Science

The University of Cambridge

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library

2015 - 2019
The Heritage Private School, Cyprus logo

High-School

The Heritage Private School, Cyprus

A-levels: 4A*, 1A; AS-levels: 1A; IGCSEs: 9A*, 1A

2002 - 2015

๐Ÿ’ผWork Experience

Revolut logo

Senior Product Owner (Data Science)

Revolut

2025 - Present

Applying latest advancements in LLMs / Agentic AI to Financial Crime detection & prevention

Tenyks logo

Co-Founder and CTO

Tenyks

2021 - 2025

Lead R&D of a cutting-edge camera stream analytics platform for the Hospitality Industry

Nokia Bell Labs logo

Research Intern

Nokia Bell Labs

2019

Explored Variational Continual Learning for personalised ML systems using sparse user data

๐Ÿ“šRecent Publications

Now You See Me (CME): Concept-based Model Extraction

Conference on Information and Knowledge Management (CIKM), AIMLAI Workshop

MEME: Generating RNN Model Explanations via Model Extraction

Advances in Neural Information Processing Systems (NeurIPS), HAMLETS Workshop

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library

International Joint Conference on Neural Networks (IJCNN)

๐Ÿ“งGet in Touch

Contact Information

๐Ÿ“London, UK
๐Ÿ’ฌDM me on LinkedIn or X