Industry Projects

ReDaQ – Intelligent Data Quality Management Platform

Type: Student Assistant Project at TU Berlin
Tech stack: Flask, Rasa Pro, LLaMA3 (together.ai API), Docker…

Demo: SmartDQ – AI-Powered Method Advisor for Industrial Data Quality

Highlights:

  • Built a full-stack web platform for recommending data analytics methods based on data quality.
  • Integrated Rasa chatbot with LLaMA3 via API, using Retrieval-Augmented Generation (RAG).
  • Designed multilingual UI, user authentication, and domain-specific prompt engineering.

Preview


Homepage Preview (EN / DE)

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Chatbot Interface

Chatbot Interface


Interaction Demo

SmartDQ Chatbot Demo

🔗 GitHub Demo


Agentic RAG – Intelligent Knowledge Retrieval and Reasoning System

Type: Ongoing Research Project at Fraunhofer FOKUS & TU Berlin
Tech stack: Python, SQL, LangChain, Hugging Face Transformers…
Highlights:

  • Develops an agentic retrieval-augmented generation (RAG) framework for reasoning over mixed-type knowledge bases combining structured and unstructured data.
  • Focuses on autonomous LLM agents capable of query understanding, knowledge grounding, and SQL reasoning.
  • Aims to improve transparency and interpretability in scientific and biomedical question answering.

🔧 Currently in active development


Lumin – AI-Powered Vocabulary Learning App

Type: Educational Startup Project
Tech stack: Flutter, Python, OpenAI API, Supabase, Appwrite…
Highlights:

  • Co-founded a language-learning app enabling users to upload and categorize their own language materials for personalized learning.
  • Integrates AI-generated exercises and adaptive review mechanisms to enhance vocabulary retention and contextual understanding.
  • Designed to provide a flexible learning experience that adapts to individual goals and real-world content.
  • Currently expanding the product for investment and startup fellowship applications.

🔜 Further details coming soon


Public Transport Delay Analysis

Type: Internship Project at FZI Berlin
Tech stack: Python: pandas, numpy, matplotlib, scikit-learn, Prophet, Geopy…
Highlights:

  • Analyzed Hamburg’s bus delay patterns using real-time passenger data and route metadata.
  • Explored the impact of time, distance, weather, and ridership on delay frequency.

🔜 More details coming soon


University Projects

3D Sphere Texture Projection and Image Processing

Course: Computerorientierte Mathematik II, TU Berlin (SoSe 2021)
Languages: Python & Julia
Highlights:

  • Projected a 2D PNG texture onto a 3D sphere to introduce core concepts in computer graphics.
  • Used Python to load texture data and Julia for image transformation and rendering.
  • Provided practical experience with graphics programming and cross-language integration.

🔗 View on GitLab


Virtual File System

Course: Systemprogrammierung, TU Berlin (SoSe 2023)
Language: C
Highlights:

  • Developed an individual project simulating a complete file system in C.
  • Supported command-line operations including file creation, opening, reading, writing, and space management.
  • Explored core OS-level concepts such as file storage mechanisms, inode structures, and data block allocation.
  • Strengthened understanding of low-level system programming and file system architecture.

🔗 View on GitLab


“Death Stacks” Bot Development

Course: Softwaretechnik und Programmierparadigmen, TU Berlin (WiSe 2023/24)
Language: Haskell
Highlights:

  • Individually developed a bot for the abstract strategy game Death Stacks using functional programming in Haskell.
  • Implemented key mechanics including piece movement, stacking logic, and reflection rules on a 6x6 game board.
  • Focused heavily on software quality, including comprehensive unit testing to ensure correctness and rule adherence.
  • Utilized an adapted FEN (Forsyth-Edwards Notation) to encode game states and facilitate gameplay logic.

🔗 View on GitLab


Academic Poster: Coupled Oscillations

Course: Physikalisches Grundpraktikum II, TU Berlin (SoSe 2023)
Highlights:

  • Selected by the teaching team to create a scientific poster on coupled oscillations as an advanced extension to the lab course.

🔗 View Poster