Iskandar Sitdikov is a software engineer with 11 years of experience building production-grade systems at the intersection of ML, HPC and quantum computing. A graduate of Lomonosov MSU with advanced study in quantum computing and big data, he led architecture and delivery of IBM’s quantum-classical hybrid stack—authoring integrations that connected IBM Quantum System One to supercomputers and enabled Slurm-driven hybrid job scheduling. He’s a core Qiskit contributor who refactored and extended the pulse module and helped bridge Qiskit to other clouds via ecosystem work such as the Qiskit-Braket provider. Comfortable shipping across backend, QA and systems architecture, he’s delivered FaaS-style quantum functions and MLOps platforms while mentoring developer communities. Based in New York and now at Neuralink, he pairs research publications and open-source stewardship with a passion for space and emerging tech like quantum computing.
11 years of coding experience
9 years of employment as a software developer
Certificate in Leadership Ethics and Corporate Accountability, Certificate in Leadership Ethics and Corporate Accountability at Harvard Business School Online
specialist ICT specialist in economics, specialist ICT specialist in economics at Tashkent Professional College of Information Technologies
Master's degree Big Data, Master's degree Big Data at Innopolis University
Master's degree Computer Science, Master's degree Computer Science at Universität Innsbruck
Professional Certificate Program Quantum computing, Professional Certificate Program Quantum computing at MIT xPRO
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Role in this project:
Back-end Developer & QA Engineer
Contributions:1 review, 9 commits, 9 PRs in 1 year 11 months
Contributions summary:Iskandar's commits primarily focus on refactoring and enhancing the Qiskit pulse module. They made substantial changes to the schedule, instruction, and visualization components. A significant part of the work involves deprecating and replacing parameters to improve code maintainability and readability, and adding new features such as the compression of identical pulses. The user also contributed to improving error messages and fixing bugs.
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Iskandar Sitdikov - Software Engineer at Neuralink