Mos Daniele
ML Engineer & Scientific Computing 🧬
Bio
ML Engineer with a background in Computer Science and a Master's in HPC & AI. Experienced in fast-paced startup environments, building ML systems from research prototyping to production deployment.
Passionate about applying machine learning to real-world scientific challenges, with particular interest in remote sensing, earth observation,biotechnology, and robotics. Driven by the belief that ML can accelerate scientific discovery.
Co-Founder of BorMos Tech. Most of my work can be found on Github and the Projects section.
Experience
CTO · Deep Learning Researcher · ML Engineer · 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.
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
