Experience
Professional Experience
🎓 Doctoral Researcher
ETH AI Center, ETH Zurich
October 2021 - Present
- Research on submodular reinforcement learning and safe multi-agent systems
- Supervision: Prof. Andreas Krause and Prof. Melanie Zeilinger
- Published at NeurIPS 2022, UAI 2021, and other top venues
- Teaching assistant for Probabilistic AI and Model Predictive Control
- AI/ML consulting services for industry partners
🔬 Research Engineer
Fixposition AG, Zurich
June 2020 - September 2021
- Developed sensor fusion algorithms for autonomous robots
- Implemented SLAM and localization systems using IMU, GNSS, and camera data
- Optimized real-time performance for embedded systems
- Collaborated with hardware teams on sensor integration
🏎️ Autonomous Systems Engineer
AMZ Racing, ETH Zurich
September 2017 - May 2020
- Developed perception and control systems for autonomous race car
- Won Formula Student Germany and Italy championships (2018)
- Implemented real-time path planning and vehicle dynamics control
- Led integration of LiDAR, camera, and IMU sensors
🎯 Master's Thesis Researcher
Caltech, Pasadena
September 2019 - March 2020
- Research on competitive policy optimization for multi-agent RL
- Supervision: Prof. Yisong Yue and Prof. Anima Anandkumar
- Developed novel algorithms for game-theoretic scenarios
- Achieved thesis grade: 6.0/6.0
Internships & Early Experience
🔧 Research Intern
Fixposition AG | Summer 2019
Developed prototype SLAM algorithms for indoor navigation systems.
📊 Data Science Intern
Wipro FMCG | Summer 2016
Analyzed consumer behavior data and developed predictive models for product demand.
🎥 Computer Vision Intern
Tonbo Imaging | Summer 2015
Worked on thermal imaging systems and object detection algorithms.
Teaching & Mentoring
Teaching Assistant Roles
📚 Probabilistic Artificial Intelligence
ETH Zurich | Fall 2022, 2023
Assisted with lectures, exercises, and projects on Bayesian methods, Gaussian processes, and probabilistic machine learning.
🎮 Model Predictive Control
ETH Zurich | Spring 2022, 2023
Taught optimization-based control methods, real-time implementation, and safety-critical applications.
🚗 Autonomous Mobility on Demand
ETH Zurich | Fall 2021
Covered fleet management, routing algorithms, and multi-agent coordination for autonomous vehicle systems.
Student Supervision
- 5 Master’s thesis projects on topics ranging from safe RL to autonomous navigation
- 8 Semester projects in reinforcement learning and control theory
- Regular mentoring of undergraduate students in research projects
Consulting & Industry Engagement
AI/ML Consulting Services
ETH AI Center | 2022 - Present
Provide technical consulting to industry partners on:
- Machine learning system design and implementation
- AI safety and robustness evaluation
- Autonomous system development
- Technology transfer and commercialization
Notable Projects
- Autonomous logistics for warehouse automation company
- Predictive maintenance for manufacturing systems
- Safe AI deployment for robotics startup
Technical Skills
🧠 Machine Learning
- Reinforcement Learning (Expert)
- Deep Learning (Advanced)
- Bayesian Methods (Advanced)
- Computer Vision (Intermediate)
⚙️ Control & Robotics
- Model Predictive Control (Expert)
- SLAM & Navigation (Advanced)
- Sensor Fusion (Advanced)
- Vehicle Dynamics (Intermediate)
💻 Programming
- Python (Expert)
- C++ (Advanced)
- MATLAB (Advanced)
- Julia (Intermediate)
🛠️ Tools & Frameworks
- PyTorch, TensorFlow
- ROS, Gazebo
- Git, Docker
- CUDA, OpenMP
Leadership & Service
- Reviewer: NeurIPS, ICML, ICLR, CDC, ICRA
- Organizer: ETH AI Center Workshop on Safe AI (2023)
- Committee Member: Student representative, ETH AI Center
- Mentor: ETH Women in AI initiative
Looking for collaboration opportunities? Get in touch!