Dax Fohl
Tech Lead at Square
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDax Fohl is a seasoned tech lead with 11 years of hands-on experience building and scaling cloud control planes and identity systems for major platforms at Square, Google, and Microsoft. He blends deep backend and algorithm engineering expertise with product leadership, having driven performance and reliability improvements such as p99.9 response-time reductions and seven-9s availability for critical Azure services. Dax is an active open-source contributor to Google’s widely used quantum framework Cirq, where he optimized simulators and circuit optimization passes to improve performance and maintainability. His background spans embedded systems, FPGAs, and founding client software firms, giving him a rare full-stack perspective from hardware to distributed cloud services. Based in Redmond, he combines technical rigor with operational instincts to deliver production-grade systems and mentor teams through complex platform challenges. An understated strength is his track record of turning research-grade code into high-performance, production-ready components.
11 years of coding experience
15 years of employment as a software developer
Indiana Academy for Science, Mathematics, & HumanitiesBachelor of Science - BS, Industrial Engineering, Bachelor of Science - BS, Industrial Engineering at Purdue University
Github Skills (18)
algorithm10
code-optimization10
performance-monitor10
performance-analytics10
python10
performance-measurement10
performance-analysis10
optimisation10
performance-tuning10
numerical-optimization10
quantum-computing10
performance-monitoring10
optimization10
circuit9
algorithms9
Programming languages (11)
Github contributions (5)
quantumlib/Cirq
Jan 2021 - Dec 2022
An open-source Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
Role in this project:
Back-end Developer & Algorithm Engineer
Back-end Developer & Algorithm EngineerContributions:600 reviews, 134 commits, 274 PRs in 1 year 11 months
Contributions summary:Dax's contributions centered on optimizing the Cirq quantum computing framework by pushing redundant simulator code into base classes, simplifying type definitions, and adding performance optimizations. They focused on improving the efficiency of key components, such as the QASM output generator and by adding or modifying circuit optimization passes like alignment. Their work involved detailed code modifications across multiple simulator implementations, demonstrating expertise in optimizing quantum circuit simulation algorithms.
pythonquantum-circuitsquantum-computingcircuitsquantum-algorithms
daxfohl/dottie
Jan 2019 - Dec 2022
Contributions:270 pushes, 13 branches in 3 years 11 months
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