Mohamed Atoui

Royal Holloway is a research-intensive college of the University of London, with a Department of Computer Science known for AI, information security (ISG), and theoretical computer science.

Selected courses:

• Quantum Computation
• Natural Language Processing
• Machine Learning
• Deep Learning
• Compilers
• Computational Finance
• Database Management
• Software Engineering
• Object-Oriented Programming
• Introduction to Security
• Team Project
• Multi-Dimensional Data Processing
• Symbolic AI

• Co-founded Nordlys Labs and led ML research on LLM routing — picking the best model per request based on task signals.
• Designed and shipped a routing system that ranked #1 on SWE-bench, beating frontier models such as Claude and GPT.
• Scaled the platform to 500+ users; built the production stack on Python / FastAPI / LangChain with Redis + PostgreSQL behind a Dockerised deploy.
• Selected for the Antler accelerator program; presented the MoM (Mixture of Models) framework at an online meetup.

• Worked in the Product Data team on sports analytics pipelines feeding broadcast and betting customers.
• Built and maintained Python data-processing workflows; ran exploratory analyses and quality checks on event-level match data.
• Collaborated with product managers and data scientists to translate analytics requirements into shippable jobs.

• Research on adversarial robustness of ML-based intrusion detection systems for autonomous vehicles.
• Studied evasion attacks against in-vehicle network IDS models (CAN-bus traffic) and explored defences: adversarial training and input sanitisation.
• Trained PyTorch classifiers on automotive intrusion datasets and benchmarked their behaviour under perturbations.

• Teaching Assistant for Object-Oriented Programming and Software Engineering (Year 2).
• Run weekly lab sessions, debug student code in Java, and mark coursework / exam scripts.
• Hold office hours focused on design patterns, testing practice and OO modelling.