Passionate about Agentic AI, Large Language Models, and Practical Autonomous Applications.
I am an M.Sc. Autonomous Systems student at Hochschule Bonn-Rhein-Sieg (GPA: 1.2) with a strong focus on practical autonomous-system applications. My primary research interests lie in 3D Computer Vision, specifically semantic segmentation and point cloud processing, as well as Agentic AI and Large Language Models.
Outside of my academic research, I am a recognized Kaggle Competition Expert, where I enjoy tackling complex machine learning challenges and optimizing predictive models. My current goal is driving forward applied research and publishing in top computer vision conferences.
Languages:
Frameworks & Libraries:
Robotics, Simulation & Cloud:
MLOps & Tools:
Domain Specialties:
- 3D Perception & CV: Structure-from-Motion (SfM), Multi-View Stereo (MVS), NeRFs, LiDAR Processing, Voxelization (Bonxai), MaskFormer, UPerNet, ViT, GNNs.
- NLP: Transformers (BERT, RoBERTa, GPT-2, FLAN-T5), LoRA, Sequence Modeling (BiLSTM, GRU), Semantic Annotation.
- Robotics & Simulation: ROS/ROS2, Gazebo, PyBullet, SLAM, Monte Carlo Localization (MCL), A* Path Planning, Potential Field Control.
- ML Algorithms: Deep Survival Analysis (DeepSurv/PyCox), XGBoost, TabNet, DBSCAN, Time-to-Event Modeling.
- Working Student @ August-Wilhelm Scheer Institute (Mar 2026 - Present)
- Student Research Intern @ Fraunhofer IVI (Oct 2025 - Present)
- Developing post-hoc correction methods for 3D voxel-based semantic grids on proprietary aerial datasets using SfM, MVS, and GNNs.
- Data Scientist @ ADF Data Science (Aug 2021 - Sep 2024)
- Developed predictive models (XGBoost, DeepSurv) for financial risk forecasting and engineered CI/CD pipelines, reducing deployment time by 50%.
- Senior Analyst @ Kantar (Jul 2020 - Aug 2021)
- Built a two-stage Deep Learning NLP pipeline using DistilBERT to process historical reviews and automated analytics workflows.
