Curriculum Vitae

PhD Candidate

Institute of Artificial Intelligence, Leibniz University Hannover

• Generalization in Reinforcement Learning, Meta-Learning and Algorithm Configuration
• Supervised by Prof. Marius Lindauer

Research Scientist Intern

Amazon Web Services, Berlin

• Offline RL with adaptable objectives and utilities
• Managed by Dr. Huibin Shen

Research Intern

Learning and Intelligent Systems Group, Technical University of Berlin

• Plan-conditioned policies for sample-efficient RL
• Supervised by Ingmar Schubert and Prof. Marc Toussaint

Risk Consultant

KPMG India, Bangalore

University of Texas at Austin

Prof. Amy Zhang

• Structured representations for Behavior Foundation Models

University of Tübingen

Prof. Georg Martius

• Action-free representations for zero-shot RL

Jožef Stefan Institute, Ljubljana

Dr. Tome Eftimov

• Dynamic algorithm configuration using RL

M.Sc. in Autonomous Systems

Technical University of Berlin and EURECOM

• Thesis "RL agents that quickly adapt to a partner for Ad-Hoc cooperation in the game of Hanabi" (grade 1.0)
• Supervised by Prof. Klaus Obermayer

B.Tech. in Electronics and Communication Engineering

Manipal Institute of Technology

• Thesis "Development of Software for Autonomous Driving Support" (grade 1.0)
• Supervised by Dr. Shankarnarayana Bhat

• DAAD IFI fellowship for international research stays (€10,000)

• Featured in the Binaire Magazine for excellent AI research

• L3S Best Publication Award for "Structure in Deep Reinforcement Learning: A Survey and Open Problems"

• Winner, Haus der Wissenschaft Science Slam

• EIT Digital Merit Scholarship (€4,500)