Khurram Javed
Research Scientist at Keen Technologies
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolKhurram Javed is a research scientist with a decade of experience building real-time learning systems, currently working in a small team at Keen Technologies under John Carmack. He specializes in reinforcement learning that can run on robots, blending academic rigor from a PhD and MSc at the University of Alberta with hands-on implementation. His background includes research stints at Mila with Yoshua Bengio and internships at EPFL, plus industry research roles at Huawei and university labs, giving him a strong bridge between theory and applied robotics. Khurram’s early work includes training math Olympiad students, reflecting an aptitude for teaching complex concepts and mentoring. He focuses on algorithms that learn from ongoing interaction rather than offline datasets, enabling adaptive, low-latency decision-making on embodied systems. Based in Montreal, he brings a rare mix of theoretical depth and practical robotics deployment experience.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of AlbertaBE Software Engineering, Computer Software Engineering, BE Software Engineering, Computer Software Engineering at National University of Sciences and Technology (NUST)
English, Urdu
Github Skills (25)
pytorch10
convolutional-neural-networks10
incremental-learning10
meta-learning10
machine-learning10
classifier10
localization10
tensorflow10
paper10
computer-vision10
documents10
representation-learning9
temporal-difference8
plot8
causality7
Programming languages (5)
Github contributions (5)
kjaved0/mrcl
May 2019 - Aug 2020
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
Contributions:118 commits, 2 PRs, 112 pushes in 1 year 2 months
meta-learningmetalearningrepresentationreprodcontinual
kjaved0/incremental-learning
Jan 2018 - Nov 2019
Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
Contributions:889 commits, 771 pushes, 3 branches in 1 year 9 months
classifierpytorchmachine-learningconvolutional-neural-networksincremental-learning
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