CV

Work Experience

Ph.D. Candidate & Research Assistant
Location: Munich, Germany
Company: Munich AI & NLP Research Lab
Duration: Oct. 2023 - Sep. 2026

  • Research focused on reasoning in LLMs and humans
  • Exploring mechanisms underlying human reasoning and applying insights to the development and refinement of LLM-based reasoning systems


AI Engineer
Location: Munich, Germany
Company: AppliedAI Initiative
Duration: Apr. 2023 - Oct. 2023

  • Built large-scale machine learning pipelines for real-world problems in industry
  • Transitioned AI applications from proof-of-concept stages to full organizational deployment
  • Led efforts in adopting new AI frameworks and tools in the realm of Generative AI


Machine Learning Engineer (Research & Development)
Location: Munich, Germany
Company: Brainamics
Duration: Aug. 2022 - Feb. 2023

  • Part of a four-person research team to develop Machine Learning frameworks for EEG-based emotion recognition
  • Project lead for real-time emotion extraction based on electrical brain activity
  • Research within various fields such as BCI, time-series analysis, and domain generalization


Research Assistant
Location: Stockholm, Sweden
Company: Computational Brain Science Lab (KTH)
Duration: Apr. 2021 - Jan. 2022

  • Designed and implemented spiking neural network models for event-based vision projects
  • Established a data processing pipeline for high-bandwidth dynamic vision sensors
  • Collaborated with an eight-people research team to advance neuromorphic computing for event-based vision


Data Scientist
Location: Munich, Germany
Company: Cognition Factory
Duration: May 2020 - Aug. 2020

  • Built data analysis frameworks for autonomous mobile robots applied within production warehouses
  • Optimized factory and warehouse layouts based on extensive data evaluations


Data Scientist Internship
Location: Munich, Germany
Company: BMW
Duration: Apr. 2019 - Oct. 2019

  • Established efficient pipelines to process and analyze large scale automotive data
  • Developed data analysis tools to evaluate and operate on big data streams collected from BMW’s vehicles
  • Strong collaboration with various departments to build machine learning frameworks that identify anomalies in driving behavior

Research Internship
Location: Munich, Germany
Company: Chair of Robotics, Artificial Intelligence & Real-time Systems (TUM)
Duration: Mar. 2018 - Oct. 2018

  • Designed and created bio-inspired robot models in CAD
  • Coupled robot designs with simulated brain models to conduct neuroscientific experiments using the Neurorobotics Platform

Education

Doctor of Philosophy
Location: Munich, Germany
Institution: Ludwig-Maximilians-University
Duration: Oct. 2023 - Sep. 2026

  • Exploring the path to reasoning in LLMs
  • Published in top-tier conferences such as ACL, COLM, EMNLP, etc.


M.Sc. Systems, Control and Robotics
Location: Stockholm, Sweden
Institution: KTH Royal Institute of Technology
Duration: Aug. 2020 - Aug. 2022

  • Specialized in Machine Learning and Perception
  • Ranked top 1% of student batch
  • GPA: 4.0 / 4.0
  • Thesis: Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions
  • Courses: Introduction to Robotics, Social Robotics, Conversational Systems, Applied Estimation, Image Analysis and Computer Vision, Machine Learning, ANNs & Deep Architectures, Control Theory (Advanced), Modelling of Dynamical Systems, C++ for Scientific Computing


B.Sc. Engineering Science
Location: Munich, Germany
Institution: Technical University of Munich
Duration: Oct. 2016 - May 2020

  • Broad scientific education in Computer Science, Mechanical and Electrical Engineering
  • Ranked top 10% of student batch
  • GPA: 3.3 / 4.0
  • Thesis: Modeling Social Interactions for Pedestrian Trajectory Prediction
  • Courses: Differential and Integral Calculus, Modeling and Simulation of ODEs, Numerical Treatment of PDEs, Probability Theory, Uncertainty Quantification, Control Theory, Signal Representation, Introduction to Deep Learning, Human-Machine Communication

Skills

  • Programming: Python, C/C++, Matlab, Simulink, R (Markdown), ROS, SQL, Git, Ubuntu Linux, LaTeX
  • ML Frameworks: PyTorch, PyTorch Lightning, Keras, Scikit-learn, OpenCV, Stable-Baselines, AWS, ZenML, W&B
  • Data Science Frameworks: NumPy, Pandas, Dask, PySpark, MNE, SciPy
  • Other Tools & Frameworks: Autodesk Inventor, OpenAI Gym, MuJoCo, Metavision SDK, Furhat SDK, Blender
  • Project Tools: Jira, Confluence
  • Soft Skills: Team Management, Leadership, Teamwork, Communication, Problem Solving, Time Management

Key Achievements

  • Graduated from KTH Royal Institute of Technology with a GPA of 4.0 / 4.0, 2022
  • Selected for the Nova 111 Student List as one of Sweden’s most promising students within Engineering, 2022
  • Developed a data-driven manual transmission method that got patented by BMW, 2019
  • Best High-School graduate of the student year, 2014

Social Engagement

Member of Students Refugee Team
Location: Munich, Germany
Institution: CVJM Munich e.V.
Duration: Dec. 2017 - Aug. 2020

  • Supported refugees in administrative tasks
  • Weekly tutoring in Physics and Math


Environmental Volunteer
Location: New Zealand
Institution: Experiment e.V.
Duration: Oct. 2015 - Jan. 2016

  • Nature conservation work to protect New Zealand’s wildlife


Federal Volunteer Service
Location: Cologne, Germany
Institution: Humboldt-Ring e.V.
Duration: Sep. 2014 - Aug. 2015

  • Supervised students from 5th to 9th grade


Updated: October 2023