Summary
Shuhul Mujoo is a Caltech undergraduate in Applied Physics with eight years of hands-on experience across superconducting and photonic quantum computing, robotics, and ML-driven astrophysics research. He has interned at leading labs and companies—Rigetti, Quantum Circuits, Leiden University, SETI, and NASA affiliates—where he bridged theory and hardware by porting circuit-quantization tools, characterizing qubit dynamics, and fabricating single-photon emitters and Josephson junctions. Comfortable from cryostats to confocal microscopes, he pairs simulation skills (QuTiP, Julia→Python ports, LTSpice) with experimental fabrication and measurement. A proven team-builder and founder of an FTC world-finalist robotics team, he also writes automation and control code for complex lab workflows. Notably, he translated quantum circuit theory into tested production tools and matched analytic pulse error models to experimental data—showing an unusual blend of analytic rigor and pragmatic lab engineering. Curious, persevering, and collaborative, he thrives on turning abstract quantum concepts into measurable devices.
8 years of coding experience
7 years of employment as a software developer
High School Diploma, Physics Math Robotics AI/ML, SENIOR, High School Diploma, Physics Math Robotics AI/ML, SENIOR at Evergreen Valley High School
Course: Inspirit AI Scholars live online, Artificial Intelligence, Summer Program, Course: Inspirit AI Scholars live online, Artificial Intelligence, Summer Program at Inspirit AI
Beaver Works Summer Institute, Quantum Computing, Beaver Works Summer Institute, Quantum Computing at Massachusetts Institute of Technology
Evergreen Valley College
California Institute of Technology
Kashmiri, English, Hindi, French