CV

Education

• Ph.D Candidate in ML and Autonomous Systems at Intelligent Robot Perceptionn Institute, KIT, 2027 Spring (expected)
• M.Sc. Mechatronics, Robotics and AI, University of Stuttgart, 2019-2022
• B.Sc. Mechatronics and Electrical Engineering, University of Stuttgart, 2016-2019

Work experience

• Machine Learning Research Engineer (Full-time), Karlsruhe, Germany (Nov 2022 - Present)
  XITASO IT & Software Solutions GmbH
  • Contributing to research on robust 3D multimodal perception in autonomous flight systems
  • Increased model performance of automotive electronics lifetime forecasting by 11% introducing SSL techniques
  • Planned and managed research of two projects with multiple employees
• Software Engineer (Full-time), Bietigheim-Bissingen, Germany (Jul - Nov 2022)
  Porsche Engineering
  • Responsible for optimizing simulation by introducing machine learning
  • Extended simulation model with knock-signal simulation for current 992PA model in MATLAB and Simulink
• Masters thesis, Mönsheim, Germany (Dez 2021 - Jun 2022)
  Dr. Ing. h.c. F. Porsche AG
  • Increased optimization results by 18% resulting in increasing longevity and performance of valve-lift systems
  • Developed hybrid AI model to boost trajectory generation time by 80% resulting in outstanding cost savings in development
  • Created model based on differential evolution (genetic algorithm) and reinforcement learning
  • Planned & conducted AI-driven research to optimize trajectory of Porsche intern valve-lift system
• Data Science Intern, Ludwigsburg, Germany (Aug - Nov 2021)
  MHP - A Porsche Company
  • Contributed to Battery Prediction Models of Porsche
  • Optimized training pipeline of forecasting models by feature engineering & feature selection
  • Improvement current XGBoost models by a small margin
• Research Associate, Stuttgart, Germany (Jan - Jul 2021)
  Fraunhofer IPA
  • Conducted research on enviromental analysis of in-door mobile robots
  • Extended Care-O-Bot with object detection modules and unsupervised density estimations (HDBSCAN, GMM) for spatio-temporal object awareness
• Automotation Engineer (Working Student), Karlsruhe, Germany (Dec 2019 - Jan 2021)
  Siemens Energy AG
  • Development & testing of automation projects. Network installation, SQL- & PCS7 experience
• Bachelors thesis, Stuttgart, Germany (May - Oct 2019)
  ISW University Stuttgart
  • Implementation & evaluation of robot grasping algorithms in simulation environment based on machine learning algorithms
• Robotics Researcher (Working Student), Heilbronn, Germany (Dec 2017 - Dec 2018)
  ISW University Stuttgart
  • Implementation of SLAM and path plannings algorithms for autonomous mobile indoor robotic systems
  • Implemented and evaluated filtering techniques like EKF and Particle Filter

Skills

• Tools and Language
  • Python, C++, MATLAB/Simulink, ROS, PyTorch, TensorFlow/Keras, AWS, Sklearn, Pandas, Git, Docker
• Quantitative Research
  • (3D-) Computer Vision, NLP, Deep Learning, Autonomous Systems, Reinforcement Learning
• Communication
  • Leadership
  • Languages: German, English, Russian (fluent speaker), Spanish (reading and writing)

Publications

Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics

E. Zarbali et al. (2023). "Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics." 2023 International Conference on Machine Learning and Applications (ICMLA). pp.332-338(1).

Talks

Teaching

Self-Supervised Learning in Vision

Service and leadership

• Currently signed in to two different research projects
• actively researching and leading the teams in terms of research directions and communications with external partners