Mos Daniele
Senior ML Engineer · Scientific Computing
Bio
ML Engineer with a background in Computer Science and a Master's in HPC & AI. Five years 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 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
CTO · Feb 2025 – Present · 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.
ML Engineer · Jun 2025 – Nov 2025 · London
Built a computer vision pipeline for 3D mesh reconstruction of head geometries.
ML Research Intern · Apr 2024 – Oct 2024 · Dresden
Conducted research on deep learning model uncertainty for Master's thesis. Trained and benchmarked models on particle acceleration simulations using HPC cluster pipelines.
Autonomous Systems Engineer · Oct 2023 – Sep 2024 · Dresden
Implemented LiDAR-based ground segmentation with multi-region RANSAC. Trained YOLO models for cone detection on an autonomous race car.
ML Engineer · Sep 2021 – Sep 2023 · Cluj-Napoca
Managed facial measurement data pipelines, trained lens segmentation models, and built an optics showcase application in C++ and Qt.
ML Intern · Jul 2021 – Aug 2021 · Cluj-Napoca
Built ML-based user prediction in a simulation environment. Developed MySQL data pipelines and trained PyTorch classification models.
Publications
Daniele Mos, Felipe Drummond, Anton Bossenbroek, Soufiane el Khinifri
arXiv preprint · 2026 · arXiv:2606.16580
Education
Computer Vision, Computer Assisted Surgery, Statistics, Data Visualization, Bioinformatics, CUDA Programming
Technische Universität Dresden, Germany
Bábes Bolyai University, Cluj-Napoca, Romania
Bábes Bolyai University, Cluj-Napoca, Romania
