Mentor at Machine Learning for Science (ML4Sci) for Google Summer of Code (GSoC) 2024. Twice contributed to GSoC in 2023 and 2022. Graduate from RWTH Aachen University with MSc. Robotic Systems. Passionate about Robotics and Artificial Intelligence. Interests include:

• Deep Learning
• Computer Vision
• Reinforcement Learning
• Software development for robotic applications
  

• GSoC 2023 & 2022: Contribution to ML4Sci
• Imitation Learning for Self-Driving Cars
• Discord bot based on Huggingface transformer
• AutoML using Autogluon, AutoPyTorch, Auto-sklearn - AutoML Hackathon (3rd position)
• Serving ML models using FastAPI
• Lab-ml: Deep Learning Implementations with Explanations using PyTorch
• Deep Learning Fundamental Concepts - Computer Vision
• Explainable AI using SHAP & CXPlain - Fraunhofer Hackathon (2nd position)
• PresentX - GPT-3 Based Latex Code Presentation Maker - GPT-3 Hackathon
• Reinforcement Learning Algorithms with explainations

Machine Learning Course, Stanford University

Logistic Regression, Supervised learning (Support Vector Machines, Neural Networks), Unsupervised learning (K-Means), Principal Components Analysis

Perception, University of Pennsylvania

Camera Modeling, Rotation & Translation, Projective Transformations, Feature Extraction, Pose Estimation & Random Sample Consensus (RANSAC) using MATLAB

Computational Motion Planning, University of Pennsylvania

Graph-based Plan Methods (Grassfire, Dijkstra's & A* Algorithm), Probabilistic Road Maps, Randomly Exploring Rapid Tress (RRTs) & Artificial Potential Field Methods using MATLAB