Mohamed Atoui
BSc Computer Science and AI, First Class Honours
AI Engineer, London
About
Hi, I'm Mohamed. I was Co-Founder & AI Lead at 
Nordlys Labs, where our LLM routing system scored 75.6% on SWE-bench Verified (December 2025), above the best published single-model baseline at the time (Claude Opus 4.5, 74.4%), and scaled to 500+ users.
I'm a Computer Science & AI graduate of 
Royal Holloway (First-Class Honours, 2026). My research covered transformer attention and KV-cache compression. I've also worked on adversarial robustness at the ISG Smart Card & IoT Security Centre and sports analytics at 
Stats Perform.
More in my CV.
Interests: Machine Learning, LLM Systems, Applied AI, Product Development.
Skills
ML & AI
Backend
Frontend
Infrastructure
Languages
Work Experience
Nordlys Labs
Nordlys Labs
Co-Founder & AI Lead
- 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 scored 75.6% on SWE-bench Verified (December 2025), above the strongest published single-model baseline at the time (Claude Opus 4.5, 74.4%).
- 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.
Royal Holloway, University of London
Royal Holloway, University of London
Teaching Assistant
- 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.
London Systems Club
London Systems Club
Co-organiser
- Co-organise the London Systems Club, a community bringing together systems-level engineers and practitioners to share expertise, exchange ideas, and learn from one another.
Thinking About Thinking
Thinking About Thinking
Ambassador
- Ambassador for the Thinking About Thinking community, supporting its events and outreach in London.
Stats Perform
Stats Perform
Product Data Intern
- Analysed large-scale NFL, NBA and MLB datasets in SQL and Python; built feature-engineering and feature-selection pipelines for production analytics products.
- Modelled three-year revenue projections for AWS marketplace distribution using Monte-Carlo simulations, informing go-to-market strategy.
- Worked with enterprise clients to scope analytics deliverables and presented findings to cross-functional product teams.
ISG Smart Card & IoT Security Centre
ISG Smart Card & IoT Security Centre
Machine Learning Researcher
- 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.
Academic Services
Object-Oriented Programming & Software Engineering
Get in Touch
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