Physics-trained ML researcher and engineer. MSc in Astrophysics, EPFL; BSc in Applied Mathematics and Physics, MIPT (Red Diploma).
Senior ML Engineer at Wayvee (2023–2026). Took radar-based shelf-interaction analytics from research to production: a verified 16% sales uplift, a granted patent (US20250213158A1), and core work supporting a $5M seed round. Grew the core radar DSP package from a 5,400-line prototype to a 16,000-line production codebase.
Earlier: research assistant in the AI group at Fermilab — reconstructed quasar time series with Gaussian processes augmented by neural networks, published at NeurIPS 2022 (1.5× accuracy improvement). At EPFL, developed VAE-based galaxy image reconstruction (TensorFlow + JAX) processing 25,000+ galaxy images.
Currently open to remote Senior ML Engineer / Research Engineer roles; building agentic automation systems.
Skills: Python, TensorFlow, JAX, PyTorch, OpenCV, scikit-learn, C++, Haskell, Git.
Contact: egor.danilov.ml@gmail.com



