Summary
Lloyd Ollerhead is a software engineer with ~8 years’ experience building scalable, performance-focused systems across AI, cloud, and security domains, currently leading engineering at Ameba after recent senior roles in AI safety and explainability. An Imperial College MEng graduate who wrote a dissertation on Trust in AI recommendation systems, he has driven dramatic production improvements—scaling services from demos to millions of entities and reducing latency by >1000x—while applying pragmatic data engineering like cutting MongoDB index counts from 14 to 3. His background includes AI content recommendation experience at Microsoft and database/driver performance work at Yellowbrick, giving him a rare blend of ML-awareness and deep systems optimization skills. He’s also an experienced educator who designed an award-winning programming course and has tutored and lectured at Imperial, bringing strong communication and mentorship to technical teams. Based in London, Lloyd is open to roles in the AI space and often contributes cross-discipline know-how that balances safety, explainability, and production robustness.
8 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng Computing, Master of Engineering - MEng Computing at Imperial College London