Majid Laali is a Senior Machine Learning Engineer with over a decade of experience applying ML and NLP to real-world products, currently working at Meta after earlier applied-science roles on Alexa NLU at Amazon. He has deep expertise in text mining, representation learning, unsupervised and generative models, and a track record of shipping production deep models for entity resolution and dialogue systems. As a former technical lead at Element AI and a PhD researcher in discourse translation, he bridges cutting-edge NLP research with pragmatic engineering and deployment. His background includes building document intelligence features, QA systems, and a hybrid machine translator, often using UIMA, Solr and TDD-driven Java components. Majid is an open-source enthusiast who enjoys building tools and prototypes that move research into product-ready software. Based in Seattle, he combines academic rigor with hands-on system design and a knack for turning linguistic insights into scalable ML solutions.
11 years of coding experience
12 years of employment as a software developer
Reinforcement Learning Summer School, Reinforcement Learning Summer School at Université de Montréal
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Concordia University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Tehran
Contributions:233 commits, 187 pushes, 14 branches in 3 years 10 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.
Request Free Trial
Majid Laali - Senior Machine Learning Engineer at Meta