Adnan Haider
Associateship (Senior Member)
Greater Cambridge Area United Kingdom
Summary
👤
Senior🎓
Top SchoolAdnan Haider is a senior machine learning scientist and researcher with 13 years’ experience focused on speech recognition, currently holding an Associateship at Clare Hall, University of Cambridge and a senior engineering role on Apple’s ML teams. His doctoral and postdoctoral work produced a novel synchronous data-parallel second-order optimization framework and the NGHF method, both designed to fine-tune pre-trained networks with far fewer updates and improved word error rates and latency. At Apple and previously at Amazon and Opus 2, he translated research into production gains—improving ASR latency, named-entity recognition, and practical conversational robustness in noisy environments. He combines deep theoretical expertise in natural gradient and curvature-aware optimization with hands-on systems engineering for large-scale, decentralized training. Notably, his work reduced conjugate-gradient iterations from hundreds to single-digit counts, enabling faster, more stable fine-tuning of sequence models.
13 years of coding experience
6 years of employment as a software developer
Master of Science MSc, Informatics, Master of Science MSc, Informatics at The University of EdinburghDoctor of Philosophy - PhD, Information Engineering, Doctor of Philosophy - PhD, Information Engineering at University of CambridgeGithub contributions (5)
AdnanHaiderAD/MSc-Dissertation
Mar 2013 - Aug 2013
Contributions:12 commits in 4 months
AdnanHaiderAD/DeepNeuralNet
Feb 2015 - Jul 2015
Contributions:39 pushes, 2 branches in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.