Mos Daniele ⛩️
/ Machine Learning engineer with a passion for Scientific Computing 🧪
/ Bio_
Hello there! I'm driven by a passion for science and a constant desire to understand how different industries work—from healthcare and geospatial to eyewear and autonomous systems. I enjoy building smart, practical tools that have real impact, and I'm always looking for new ways to connect ideas across fields. Most of my work can be found on my personal Github and more relevent projects on the Projects section of this website.
Co-Founder of BorMos Tech and Learner.
/ Work_
Geospatial Machine Learning Engineer at Spatialise in Amsterdam Area, Netherlands, Remote - ongoing
Machine Learning Engineer at Tvarita in Cluj-Napoca - 2 yrs
Machine Learning Intern at Machinations.io - 2 mos.
/ Extra_
Autonomous System Engineer at Elbflorace
Dresden, Germany - 1 yr
Machine Learning Researcher Internship at HZDR - Helmholtz-Zentrum Dresden-Rossendorf
Dresden, Germany - 7 mos.
/ Education_
Main Courses: Computer Vision, Computer Assisted Surgery, Statistics, Data Visualization, Bioinformatics, CUDA Programming
Technische Universität Dresden Germany
Bábes Bolyai University in Cluj-Napoca Romania
Bábes Bolyai University in Cluj-Napoca Romania
/ Connect_
Snakemake ML Pipeline
Scientific Pipeline for Simulation Data
Autonomous Racing in Formula Student
LiDAR Ground Removal Optimization in Autonomous Racing