Summary
Ani Karapetyan is a Machine Learning Engineer with a decade of software experience, currently building 3D human pose estimation systems for interior sensing at Aptiv in Germany. She holds an M.Sc. in Computer Science from the University of Bonn with focuses in intelligent systems and computer vision, and has an outstanding academic record dating back to top honors in Armenia. Her background blends industrial C++ systems engineering—years at Mentor Graphics working on EDA parsers, performance optimizations and sanitizers—with applied ML work in Python on Detectron2-based crop/weed detection and UAV-driven precision agriculture. Ani moves models from research to production, pairing rigorous code-quality practices with practical prototyping for sensing and perception stacks. Notably, she combines artistic training in painting with deep technical skills, which informs a strong spatial and visual intuition for computer vision problems. Based in Germany, she bridges research labs and automotive product teams to deliver robust perception solutions.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Informatics and Applied mathematics, 19.74/20 (very good), Bachelor's degree, Informatics and Applied mathematics, 19.74/20 (very good) at Yerevan State University
Master's degree, Information Systems, 19.46/20 (very good), Master's degree, Information Systems, 19.46/20 (very good) at Yerevan State University, ITERC
Painting classes, Painting classes at Art school after H. Danielyan
Programming courses, Programming courses at Armsoft Education Center
Master of Science, Computer Science, 1.1 (very good), Master of Science, Computer Science, 1.1 (very good) at The University of Bonn
English, Armenian, Russian, German