Amaan Khan
Machine Learning Engineer at JPMorgan Chase & Co.
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAmaan Khan is a machine learning engineer with a decade of hands-on experience applying ML, tensor network methods, and quantum computing algorithms to problems in materials science, many-body physics, and quantum chemistry. Based in New York and educated at UIUC, he blends research-focused algorithm development with practical data science and software engineering experience from roles as a course assistant, undergraduate researcher, and software engineer for student startups. He has supported interdisciplinary projects ranging from data analytics internships to leading social initiatives in engineering teams, demonstrating an ability to translate complex theory into usable tools. Comfortable at the intersection of physics and computation, Amaan often leverages tensor-network insights to tackle scalable modeling challenges that traditional ML pipelines struggle with.
10 years of coding experience
4 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at University of Illinois Urbana-ChampaignHigh School Diploma High School/Secondary Diplomas and Certificates, High School Diploma High School/Secondary Diplomas and Certificates at Dunes International School
English, Hindi, Urdu, Arabic, Spanish
Github Skills (2)
stem10
imaging9
Programming languages (4)
Github contributions (5)
ClarkResearchGroup/stem-learning
Aug 2019 - Jan 2023
Package to use an FCN to learn defects from STEM imaging
Contributions:1 review, 55 commits, 12 PRs in 3 years 5 months
defectsstemfcnimaging
abid1214/cyclegan
Jun 2024 - Feb 2025
A Package that does image-to-image translation
Contributions:1 PR, 7 pushes, 1 branch in 7 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.