M Alam
Senior Researcher at Microsoft
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolM Alam is a Senior Researcher in San Francisco with a decade of experience at the intersection of theoretical physics and quantum software, currently advancing research at Microsoft after leading quantum AI efforts at NASA Ames. He holds a PhD in Theoretical and Mathematical Physics and transitioned from academic work on string theory and particle physics to applied quantum engineering and algorithm development. At Rigetti he contributed substantially to the pyQuil open-source library, improving documentation, QA, and tests for core quantum primitives like Pauli operations and readout correction. His background includes building analytics products as a lead data scientist in a startup that was acquired, demonstrating an ability to move ideas from research to production. Colleagues describe him as a curious problem-solver who blends deep theoretical insight with practical software craftsmanship. He brings rare fluency in both foundational physics and production-grade quantum software, making him effective at bridging lab research and engineering delivery.
11 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics, Doctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics at The University of Texas at AustinBachelor's Degree, Physics, Mathematics, Bachelor's Degree, Physics, Mathematics at Franklin & Marshall College
Urdu, Punjabi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
unit-testing10
quantum-computing10
python10
documentation9
Programming languages (2)
Github contributions (5)
rigetti/pyquil
Nov 2018 - Jul 2019
A Python library for quantum programming using Quil.
Role in this project:
Back-end Developer & QA Engineer / Test Automation Engineer
Back-end Developer & QA Engineer / Test Automation EngineerContributions:14 commits, 17 PRs, 2 pushes in 8 months
Contributions summary:M primarily contributed to the documentation and testing of the pyQuil library. Their work involved refining the introductory documentation, including code examples and explanations of quantum computing concepts like probabilistic bits and qubits. Additionally, the user addressed bugs and improved existing code, focusing on fixing issues related to identity operations, exponentiation of PauliTerms, and Readout correction and the testing of the same. Their contributions also covered implementing various tests for the PauliSum, test_paulis, and test_paulis_with_placeholders, which demonstrates an active role in maintaining the quality and robustness of the library.
pythonforestquilquantum-computingquantum-programming
msohaibalam/nand2tetris
Aug 2018 - Aug 2018
Contributions:20 commits, 17 pushes, 1 branch in 9 days
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