About Me

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🚀 About Me

🎓 B.Sc. in Industrial Engineering and Management
📍 TU Berlin | 2022 – 2025 (expected)
🧭 Covered close to 200 ECTS during the first five semesters.

📌 Research Interests:
• Deep Learning (DL), Machine Learning (ML)
• Natural Language Processing (NLP), Large Language Models (LLMs)
• Generative Models, Multimodal Learning, Embodied AI

💼 Open to Research Opportunities
Actively seeking research roles and internships in both academia and industry, focusing on AI, ML, or NLP.
Always open to collaborating on cutting-edge ML projects!

🧠 Coursework & Projects

📝 Personal Repositories

📚 TUB CS & Economics Notes
Notes from courses in mathematics, economics, and computer science at TU Berlin.
📘 Survive TUB Manual for Informatics
A long-term guide to help new students (Erstis) navigate course selection and student life at TU Berlin.

🔬 Deep Learning & ML Projects

Fundamentals of Machine Learning with NumPy
ML1, TU Berlin – WS24/25
Implemented a wide range of machine learning methods in NumPy, including decision trees, SVMs, PCA, ensemble learning, and kernel methods.
Course covered both probabilistic and discriminative models (e.g., Bayes, Fisher, Product of Experts), with emphasis on model selection and explainability.
Combined theoretical understanding with hands-on coding exercises.
Deep Learning Models and Explainability with PyTorch
DL1, TU Berlin – WS24/25
Built and trained deep learning models using PyTorch, including CNNs and RNNs.
Applied optimization techniques (Adam, SGD), regularization (dropout, weight decay), and explored explainable AI (XAI) concepts.
Integrated both theoretical tasks and hands-on projects.

🖥️ Systems Programming & Networking

Virtual File System in C
Systemprogrammierung, TU Berlin – SS23
Developed a user-space file system in C with support for INodes, superblocks, and block-based storage.
Implemented commands such as mkdir, mkfile, list, writef, readf, rm, import, and export.
Focused on shell-based interaction, file structure, and memory safety.
Distributed Hash Table with Chord over UDP/HTTP
Rechnernetze und Verteilte Systeme, TU Berlin – WS23/24
Implemented a static and dynamic DHT in C using the Chord protocol.
Enabled node join, lookup, and stabilization over UDP.
Served resources via HTTP and used OpenSSL for hashing.