Research Software Engineer · University of Cambridge
Experienced in building scalable, efficient and thought-out software solutions from games to research to industry.

I am a Research Software Engineer in the Department of Zoology at the University of Cambridge, working on research infrastructure for conservation science and evidence synthesis. Previously, I worked as a Software Engineer and later Technical Lead at the Leverhulme Centre for the Future of Intelligence (LCFI), University of Cambridge, where I developed, improved, and maintained the Animal-AI research environment. I hold an MSc in Artificial Intelligence from King's College London (2022), where my dissertation focused on developing an ML algorithm to predict whether a Twitter (now X) post was factual or fictitious (you can check my dissertation in my repositories section). Outside of work, I read a lot, and I'm also an avid gamer and game developer — currently working on my own psychological horror game set to be commercially released in early 2026 for PC.

• Artificial Intelligence & Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Nature-inspired learning algorithms
• Computer Science
  • Algorithms
  • Optimisation
• Game Development
• Mathematics

Languages

Python · C# · C++

Backend / Data

Django · Django REST Framework · PostgreSQL

Web / CMS

(exploring)

Infra / Developer Experience

Docker · GitHub Actions · Linux · macOS · Windows · VS Code · Visual Studio · Android Studio

_{If your work touches any of my interest points, software engineering, research infrastructure, AI, or game development, feel free to get in touch.}