Mos Daniele

senior ml engineer · scientific computing

Bio

ML Engineer with a background in Computer Science and a Master's in HPC & AI. Taking ML systems from research to production across scientific computing, remote sensing, foundation models and agentic systems, currently CTO shipping geospatial ML to live clients. Drawn to deep tech: mission-driven work where ML accelerates scientific discovery.

Co-Founder of BorMos Tech. Most of my work can be found on Github and the Projects section.

Experience

2025.02 — now

Spatialise

CTO · Amsterdam

Built graph neural networks for soil carbon prediction from remote sensing data. Integrated earth observation foundation models, engineered CUDA-accelerated inference pipelines, and deployed scalable ML services on GCP.

2025.06 — 2025.11

Nexus Studios

ML Engineer · London

Built a computer vision pipeline for 3D mesh reconstruction of head geometries.

2024.04 — 2024.10

HZDR

ML Research Intern · Dresden

Conducted research on deep learning model uncertainty for Master's thesis. Trained and benchmarked models on particle acceleration simulations using HPC cluster pipelines.

2023.10 — 2024.09

Elbflorace Formula Student

Autonomous Systems Engineer · Dresden

Implemented LiDAR-based ground segmentation with multi-region RANSAC. Trained YOLO models for cone detection on an autonomous race car.

2021.09 — 2023.09

Tvarita

ML Engineer · Cluj-Napoca

Managed facial measurement data pipelines, trained lens segmentation models, and built an optics showcase application in C++ and Qt.

2021.07 — 2021.08

machinations.io

ML Intern · Cluj-Napoca

Built ML-based user prediction in a simulation environment. Developed MySQL data pipelines and trained PyTorch classification models.