Raphael Abt

Manager Digital Crew Planning at Lufthansa

Cologne, North Rhine-Westphalia, Germany
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Raphael Abt is a data-driven engineering leader and airline pilot with 12 years of experience applying machine learning, software development, and operational insight to crew planning and aviation systems. As Manager Digital Crew Planning at Lufthansa he combines hands-on algorithm development for video analytics with product and project leadership, having led the ReguLite crew-rules IT implementation and built group-wide digital insight tools. He holds an M.Sc. in Industrial Engineering (KIT, top grade) and pursues part-time doctoral studies in mathematics, bringing rigorous quantitative methods to operational problems. His background as a First Officer on the A320 fleet gives him rare domain expertise to bridge frontline operations and technical teams. Known for clear communication and human-centered leadership, he focuses on practical, scalable solutions that improve safety and efficiency. Colocated in Cologne, he blends academic depth, aviation operational know-how, and applied ML to solve complex mobility challenges.
code12 years of coding experience
job4 years of employment as a software developer
bookM. Sc., Industrial Engineering and Management, 1.1 with distinction, M. Sc., Industrial Engineering and Management, 1.1 with distinction at Karlsruhe Institute of Technology
bookMulti-Crew Pilot Licence (MPL), Commercial aircraft pilot training, Multi-Crew Pilot Licence (MPL), Commercial aircraft pilot training at Lufthansa Flight Training
bookB. Sc., Industrial Engineering and Management, 1.6, B. Sc., Industrial Engineering and Management, 1.6 at Karlsruhe Institut of Technology
languagesGerman, English, French
github-logo-circle

Github Skills (30)

lan10
python10
mathematics10
dimensions10
monte-carlo10
machine-learning9
tensorflow9
neural-network9
deep-learning9
data-structures9
deep-neural-networks8
segmentation8
clip8
ml8
data-science8

Programming languages (3)

C++MATLABPython

Github contributions (5)

github-logo-circle
GailGithub/GAIL_Dev

Oct 2013 - Jan 2021

GAIL is a suite of algorithms for integration problems in one, many, and infinite dimensions, and whose answers are guaranteed to be correct. GAIL is created, developed, and maintained by Fred Hickernell (Illinois Institute of Technology), Sou-Cheng Choi (University of Chicago and Argonne National Laboratory), and their collaborators including Yuhan Ding (IIT), Lan Jiang (IIT), and Yizhi Zhang (IIT).
Contributions:410 commits, 283 pushes, 2 branches in 7 years 5 months
nationalillinoisfredlaboratoryproblems
Contributions:107 pushes, 87 branches in 2 years 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Raphael Abt - Manager Digital Crew Planning at Lufthansa