I'm a Computer Science undergraduate at the University of Southampton (projected First-Class, graduating 2026) with interests spanning artificial intelligence, cybersecurity, and decentralised systems.

I enjoy working at the intersection of theory, systems, and real-world deployment, particularly on problems involving trust, privacy, and robustness in modern AI systems.

• Artificial Intelligence & Machine Learning
• Federated Learning & Synthetic Data Generation
• Generative AI Security
• Decentralised & Privacy-Preserving Systems
• Cryptoeconomic Mechanism Design
• Responsible & Citizen-Centric AI

FedEvolve: Evolutionary Tabular Data Synthesis in Vertical Federated Learning Systems
Accepted at AAAI

• Proposes a novel architecture for synthetic tabular data generation in vertical federated learning
• Focuses on privacy preservation, scalability, and robustness in distributed settings

A neural network framework built entirely from scratch using NumPy, without deep learning libraries.

• Implements core neural network components from first principles
• Evaluated on standard benchmarks:
  • MNIST
  • XOR
• Focused on understanding optimisation, backpropagation, and numerical stability

🔗 Repository: https://github.com/AdetsGithub/AI-Library

A decentralised, anonymous messaging system designed to resist traffic analysis by nation-state adversaries.

• Researching decentralised architectures and network obfuscation techniques
• Exploring ultrasound-based handshake protocols for anonymous communication
• Focus on metadata privacy and adversarial threat models

A startup providing agent reputation scoring as a service built on ERC-8004.

• Designing cryptoeconomic systems to embed trust into decentralised agent-to-agent ecosystems
• Researching:
  • Lightweight decentralised updates
  • Defences against adversarial behaviour
  • Bias mitigation in unstructured feedback systems

🌐 https://lyneth.ai/

• Cyber Security Group, University of Southampton
  Research in generative AI security and federated learning
  Awarded the Aniket Singh Summer Research Scholarship

• Citizen-Centric Artificial Intelligence
  Research on responsible AI systems
  Co-developed an LLM-based negotiation agent for the Concordia contest

• Quant Finance Society Southampton
  Project Lead delivering workshops on time series analysis
  Led a team of 8 on quantitative modelling projects

Languages

• Python (Proficient)
• Java (Proficient)
• C (Intermediate)
• SQL (Intermediate)

Libraries & Tools

• NumPy, PyTorch, Pandas, SciKit-Learn
• SciPy, Keras, Matplotlib
• JavaFX

Domains

• Machine Learning
• Federated Learning
• Cybersecurity
• Decentralised Systems
• Time Series Analysis
• Responsible AI

• 📧 Email: as37g23@soton.ac.uk

⭐ If you're interested in collaboration, research, or just discussing ideas — feel free to reach out.