Tobias Tappe
Engineering modern, scalable web applications with a foundation in robust software architecture, supercharged by cutting-edge Agentic AI workflows.
I'm Tobias Tappe, an M.Sc. Computer Science student at Paderborn University and a passionate Software Developer. While I maintain a rock-solid foundation in traditional software architecture, data structures, and full-stack web development, my true edge lies in leveraging advanced AI to iterate at unprecedented speeds. I regularly collaborate with agentic AI tools like Claude, Gemini, Google Antigravity, and Stitch to prototype, test, and deploy complex applications rapidly.
Selected Work
A collection of projects that showcase my skills across different technologies and problem domains.
LLM Robustness Framework
A comprehensive framework evaluating the robustness of Large Language Models when answering causal questions. Developed as my Bachelor's thesis, it systematically analyzes different prompting strategies and assesses the stability and reliability of model responses under varying conditions.
Katharina Tappe Coaching
Designed and developed a professional portfolio and booking website for a learning therapist. Rapidly prototyped high-fidelity UI using Google's Stitch and implemented the full custom Next.js frontend via an iterative agentic coding loop with Claude, Gemini, and Google Antigravity.
Telegram AI Assistant
An automated workflow assistant built with n8n for Telegram. It enables voice message summarization, automatic generation of Anki flashcards from notes and PDFs, and uses OCR/Vision to parse photos of timetables directly into calendar events.
Education & Skills
My academic background, professional journey, and technical expertise.
Education
M.Sc. Computer Science
Paderborn University
Focusing on IT Security and Machine Learning.
B.Sc. Computer Science
Paderborn University
Graduated with a final grade of 1.2. Awarded the prestigious Deutschlandstipendium for outstanding academic performance.
Abitur (A-Levels)
Gymnasium Horn-Bad Meinberg
Graduated with a final grade of 2.2. Intensive advanced courses in Mathematics and Physics.
Experience
Working Student in Research & Advanced Development
dSPACE
Driving project-based research focusing on the latest AI advancements. Gaining hands-on experience with Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP) servers, Agentic AI, and advanced prompt engineering. Utilizing Python and Azure DevOps to seamlessly bridge the gap between experimental AI applications and robust software systems.
Student Assistant - Tutor
Paderborn University
Led Data Modeling tutorial sessions for groups of ~20 students. Managed grading for assignments and exams. Successfully completed the higher education didactics program, earning the official 'T-Cert' tutoring certification.