David Gorgiev

About me

I am a computer science student at EPFL.

My main interest and work span signal processing, machine learning, embedded systems and high-performance computing.

My broader interests include maker prototyping, robotics, imaging, space applications, quantum computing or anything physics-related.

Experience

• Since Sep 2026 Decoding Engineer at EPFL N-Pulse
• Since Feb 2026 Flight Software Engineer at EPFL Spacecraft Team
• Jul – Sep 2026 Software Engineering Intern at imperix

Some recent projects

EPFL Course Planner (epflcourseplanner.ch)

I developed a tool that helped me plan my master’s curriculum, and decided to make it publicly available in the form of a website.

In only 1.5 months, over 2’000 students used it to plan their studies at EPFL. Cool!

Adaptive Qubit Routing for Noisy Quantum Hardware (GitHub · pdf)

Under the supervision of Prof. Edoardo Charbon at the Advanced Quantum Architecture Lab, I worked on distributed surface code architectures. I developed an adaptive qubit routing algorithm leveraging error syndromes to avoid noisy hardware regions at runtime, improving circuit execution fidelity by up to 60.2%.

That was fun!