About
MRes graduate in Artificial Intelligence and Machine Learning from Imperial College London, with research focused on generative topological deep learning and applications to information architecture, influence systems, and complex network dynamics. Currently seeking ML engineering and data science roles.
Thesis
- ⦿ A. Tuna, "A Deep Autoregressive Model for Dynamic Combinatorial Complexes," arXiv preprint, 2025. DOI: 10.48550/arXiv.2503.01999.
Work Experience
M&C Saatchi World ServicesPythonFastAPINetworkXPyvisTypeScriptGit
Data Intern
- ⦿ Developed a time-series network visualization and prediction tool using NetworkX, Pyvis, FastAPI, and the state-of-the-art DAMNETS model, enabling stakeholders to identify emerging influence patterns and forecast network evolution across social media data.
- ⦿ Presented findings to non-technical stakeholders across multiple teams, driving adoption of network analysis for client account strategy.
- ⦿ Recognized as top-performing intern by management and data science team.
REEF TechnologyRExcel
Data Intern
- ⦿ Processed and cleaned 1000+ records from vessel and warehouse operations, standardising data quality for downstream analysis.
- ⦿ Analysed and standardised structured financial contracts to improve consistency across internal audit workflows.
Education
Imperial College London
University of Edinburgh
Projects & Awards
DAMCC
Developed the first deep learning architecture for generating dynamic combinatorial complexes, enabling structured prediction in high-dimensional social and informational networks.
TaxOff
LLM-based tax management system developed at the finals of Imperial's Business School AI Ventures Hackathon. I led a custom web-scraping and data preparation pipeline for model fine-tuning.
HYPED
Served as Stability Engineer for the UK's top Hyperloop team and received awards from SpaceX, Virgin Hyperloop One, and the Institution of Civil Engineers. Participated in the finals at SpaceX, California.
Technical Skills
Languages
Leadership
University of Edinburgh, School of Mathematics
MathClans Leader
- ⦿ Fostered a sense of community by leading peer integration initiatives for new students.
- ⦿ Organised academic and social events supporting student engagement and departmental cohesion.
Edinburgh University Students' Association
Programme Representative, Academic Societies Representative
- ⦿ Gathered feedback and represented third-year Mathematics students in the Student-Staff Liaison Committee.
- ⦿ Liaised between academic societies and the Association, contributing to governance via motions and proposals.