Arham Khan
Machine Learning Engineer, Reality Labs at Globus Labs
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolArham Khan is a Ph.D. student in Computer Science at the University of Chicago with seven years of industry and research experience building production-grade machine learning systems and compiler tooling. He has driven measurable impact at companies like Stripe—where he cut LLM fraud-detection costs by 80% through custom tokenizers and context compression—and at nod.ai, where he developed importers (PI and SHARK-Turbine) that dramatically improved torch-mlir coverage and successfully imported 92% of popular PyTorch modules. His background spans end-to-end ML engineering, from low-level PyTorch/ROCm runtime work at AMD to applied research in hand-pose estimation and anomaly detection from his time at the University of Florida. Arham combines deep systems expertise with practical interpretability and deployment skills, and he has a knack for translating research prototypes into robust tooling that scales. Based in Chicago, he balances rigorous academic training with hands-on product impact across both open-source compiler ecosystems and large-scale LLM applications.
8 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 ChicagoBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Florida
Github Skills (111)
python10
deep-learning10
gpu10
locality-sensitive-hashing10
calculator10
video-processing10
jaccard-similarity10
minhash10
lsh10
audio-processing10
android10
pytorch10
machine-learning10
hyperloglog10
javascript9
Programming languages (10)
Github contributions (5)
TPC-AI/data-general-text-code-web
Feb 2024 - Sep 2025
Material relating to data-general-text-code-web
Contributions:3 reviews, 2 PRs, 15 pushes in 1 year 7 months
123epsilon/SZ3
Feb 2022 - Feb 2023
Contributions:40 pushes, 3 branches in 1 year
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