Summary
Ștefan Nae is an AI engineer and founder with a decade of experience turning research-grade ideas into production systems across healthcare, public sector and industry. Trained as a physicist who conducted underground neutrino research, he pairs rigorous data-science methods with hands-on engineering to deliver computer vision and ML services—from air-gapped edge setups to ISO 27001-aligned cloud products. He currently leads Asto Care, building AI-supported medication verification, and co-founds startups that connect founders and improve workplace health, reflecting a strong focus on early-stage problem validation and responsible deployment. His background includes industrial vision systems, ballistics and agricultural ML projects, plus teaching machine learning to university students and mentoring founders in accelerator programs. Comfortable with the full ML lifecycle, he blends experimental design, dataset curation and production deployment while emphasizing security, reproducibility and real-world impact. Notably, his path from 2 km underground physics experiments to practical AI products gives him unusual depth in instrument-driven data and systems engineering.
10 years of coding experience
3 years of employment as a software developer
Physics, Physics at University of Lisbon
Machine Learning, Machine Learning at Udacity
Master's degree Physics, Master's degree Physics at University of Bucharest
Baccalaureate Diploma Mathematics and Computer Science, Baccalaureate Diploma Mathematics and Computer Science at Vladimir Streinu National College
English, Romanian