Pascal Dominic Müller

Pascal Dominic Müller

I am a software engineer building practical systems at the intersection of AI, developer tools, and digital assets.

I hold an MSc in Computational Science & Engineering from ETH Zurich, focused on applied AI. My background spans end-to-end product development, cloud infrastructure, and machine learning research.

> Experience _

Cada Services AG

Software Engineer, part-time • September 2024 - May 2026

Built off-chain full-stack applications for Cardano with FastAPI, Python, and smart-contract integrations. Developed a Chrome extension wallet for debugging and testing, and shipped containerized services on a VPS.

Software Brauerei AG

DevOps Engineer / Web Developer, part-time • September 2022 - March 2024

Generalist role focused on Docker, CI/CD pipelines, and backend development with Python.

Startup Project, ETH Student Project House / Talent Kick

Founder / Lead Developer • 2022 - 2024

Rapidly prototyped product ideas, building and iterating full-stack MVPs with Python, React, Docker, GitHub Actions, and AWS.

ETH Zürich

Assistant at the Quantum Device Lab • Mar 2017 - Mar 2018

Made an existing website responsive with Drupal 7, Sass, Bootstrap, and SQL while preserving established workflows.

XIAG AG

Web Developer, Apprenticeship • August 2010 - August 2012

Built web applications and internal tools with PHP, MySQL, Symfony 2, and jQuery, including a drag-and-drop newsletter generator and an image-scaling REST API.

> Education _

MSc Computational Science & Engineering, Applied AI

ETH Zurich • 2023 - 2026

Focused on computational methods, machine learning, and applied artificial intelligence.

Bachelor of Science in Computational Science & Engineering

ETH Zurich • 2017 - 2023

Focus on astrophysics. Bachelor thesis on gravitational-wave detection in Gaussian noise using deep learning.

BSc Physics, incomplete undergraduate studies

ETH Zurich • 2014 - 2017

Physics studies before transitioning to Computational Science & Engineering.

Application Developer EFZ

Xiag AG / IBZ • 2008 - 2012

Software-development apprenticeship with a practical foundation in web development and client work.

> Projects _

DevX Wallet

Cada Services AG, paid project, Cardano

A Cardano wallet built for developers, with focused debugging and testing tools including wallet impersonation.

Cardano Developer Tools Wallets

Linkage Finance

Cada Services AG, paid project, Cardano

An index-fund platform for creating and trading baskets of Cardano tokens, with deposits and NFT-based fund shares.

Cardano DeFi Full Stack

Master Thesis: Gradient-Based LLM Interpretability

ETH Zurich, PyTorch, Transformer Research

Developing a tool that analyzes computation graphs through custom semiring-based backpropagation on arbitrary models. It extracts gradient statistics and structured reports for Transformer interpretability research.

LLMs PyTorch Interpretability

Modulu: Real-Estate Intelligence Platform

Flask, ReactJS, Web Scraping

A real-estate intelligence platform built from Swiss property data. We scraped listings into a data pipeline, generated market insights, and made them available through a registered-user web application.

Flask React Web Scraping

Spark: Co-Founder Matching

Flask, React Native, Expo

A Tinder-like app for matching prospective co-founders and helping people discover complementary collaborators.

Flask React Native Mobile

Biologically Plausible Continual Learning

PyTorch, Neural Networks, Research

Investigated biologically inspired learning rules for mitigating catastrophic forgetting. Implemented a PyTorch dual-system model and evaluated it on SplitMNIST, SplitFashionMNIST, and XOR tasks.

Research PyTorch Continual Learning

Demiurge3D

AI, 3D Generation

An early platform for creating 3D assets with the latest AI models, exploring the 3D-generation space.

AI 3D Experiment

Gravitational Wave Detection using Deep Learning

BSc Thesis Project, CNN, Physics

Trained a CNN to detect gravitational-wave signals in noisy time-series data. Generated more than 140GB of synthetic LIGO-like data and achieved 90% validation detection efficiency.

CNN Physics Deep Learning

> Skills _

Programming & AI

  • Python / JavaScript / TypeScript / SQL / C/C++
  • PyTorch / Machine Learning / LLMs
  • FastAPI / Flask / React

Systems & DevOps

  • Linux / Docker / reverse proxies
  • AWS: EC2, EKS, IAM
  • CI/CD: GitHub Actions, Bitbucket Pipelines

Tools & Languages

  • Git / CMake / MPI / OpenMP
  • HTML / CSS / Docker
  • German: native / English: fluent