I am a Computer Science MSc student at ETH Zurich, majoring in Machine Intelligence. I like building practical systems alongside my education and work, especially at the intersection of software engineering, machine learning, and research. Recently, I’ve been focused on writing software that I can deploy on my own hardware (currently a Raspberry Pi 4B and a Jetson Orin Nano) which has taken me on a journey across linux, networking and software engineering principles.
Tobias
Boschung
Homelab Landing Page & CV
Welcome to my homelab landing page — a small corner of the web for my work in computer science, machine learning and software engineering.
About
- LOCATION
- Zurich, Switzerland
- FOCUS
- Machine Learning
- TOOLS
- Python · Java · SQL · TypeScript
- OFFLINE
- Travel · Hiking · Music · Cooking
CV
Education
ETH Zurich
Sep. 2024 — Present- Major in Machine Intelligence.
- Relevant modules: Probabilistic AI, Reinforcement Learning, Cloud Computing Architecture, Big Data, Power Markets.
University of Tokyo · Exchange Semester
Oct. 2025 — Feb. 2026ETH Zurich
Sep. 2019 — Sep. 2024- Relevant modules: Algorithms, Probability, Statistics, Discrete Mathematics, Analysis, Formal Methods & Functional Programming.
ETH Zurich · Bachelor Thesis
Sep. 2023 — Mar. 2024- Co-authored the ACM publication Chatbots With Attitude: Enhancing Chatbot Interactions Through Dynamic Personality Infusion.
- Developed a state-of-the-art method to controllably infuse personalities into any chatbot; supervised by Prof. Markus Gross, Dr. Rafael Wampfler, and Nikola Kovačević.
- Ran two quantitative user studies and implemented the system using Python, OpenAI API, Node.js, and Flutter.
Professional Experience
Beppo AG
Mar. 2026 — Aug. 2026- Co-managed 20+ commercial camera solutions across client sites.
- Deployed 5+ camera networks throughout Switzerland.
- Optimized database architecture and data analysis infrastructure.
bmpi AG
May 2024 — Sep. 2024- Integrated MongoDB as a ready-to-implement database option within the core product.
- Refactored query interfaces while maintaining backwards compatibility with legacy code.
- Built npm packages for internal use.
Vontobel AG
Feb. 2023 — Dec. 2023- Built graph-based detection methods for fraud, money laundering, and sanction evasion using Neo4j and Linkurious.
- Improved internal data architecture across SQL datamarts and Neo4j graph systems to support regulatory workflows.
- Collaborated directly with stakeholders to refine requirements and deliver precise analytical solutions.
Course Projects
Komatsu Ltd. · UTokyo
Built a classification pipeline from scratch to detect gear machinery defects from recorded noise samples, then designed and evaluated data augmentation strategies for limited labeled data.
Information Security Lab
Implemented practical attacks and defenses across protocol, software, and system security, including side-channel analysis and buffer-overflow exploitation.
Computational Intelligence Lab
Built sentiment analysis models from classical ML and RNNs to fine-tuned DeBERTa and RoBERTa models, exploring efficiency trade-offs, baselines, and ensembles.
Game Programming Lab
Designed and developed a complete MonoGame game, implementing gameplay systems, rendering, audio, and user interaction end to end.
Skills & Activities
LANGUAGES
German (native)
English (fluent)
French (conversational)
PROGRAMMING
Python
Java · TypeScript
SQL · Neo4j
HOBBIES
Travelling · Hiking
Reading · Music Production
Cooking
Extracurricular
Association President · Gradient Collective
May 2024 — Present- Lead a 12-person team, driving strategic planning, operational organization, and partnership development.
- Manage end-to-end projects including budgeting, financial oversight, stakeholder coordination, and supplier and sponsor relations.
- Built the label's brand and community from the ground up, using data-driven social media and event growth.
Personal Projects
agody-x
Explore a continuous network of philosophical traditions and thinkers, then follow the sourced connections between them.
EXPLORE AGODY-X →