Resume

Machine Learning Engineer

Sanitas Krankenversicherung

• As part of the Machine Learning Engineering team, I work on the technical design and implementation of ML and GenAI products, from architecture to operations:
  • Generative AI applications built on RAG and agent workflows
  • Intelligent document processing, covering classification and extraction
  • Evaluating and continuously improving these solutions, including training custom document models

Lecturer in Software Engineering and Machine Learning (BSc Digital Business and AI)

HWZ University of Applied Sciences in Business Administration Zurich

• Responsible for the definition of the curriculum, the realization, and the delivery of the following lectures of the Business Informatics Bachelor:
  • Software Engineering 1
  • Software Engineering 2
  • Machine Learning & MLOps

Instructor for Python Programming

University of Zürich

• Teaching the following programming courses:
  • Python Basics
  • Intermediate Python
  • Python - Data Analysis Essentials
• Launched the Python - Data Analysis Essentials course

Lead Software Architect

Zühlke

• July 2022 – October 2023: Lead Software Architect and Team Lead
• As of October 2023, I’ve decided to step down from my additional role as team lead to focus on a) tackling complex technical challenges in client projects, and b) fostering a collaborative and supportive environment within project teams.

Technical Lead and Software Engineer

Swisscom

• Technical lead, Marketing Innovation Lab
• Software Engineer, Data, Analytics & AI

Software Engineer

Nexxiot AG

• Responsible for the development and deployment of multiple distributed services within Nexxiot's infrastructure
• Evaluated and implemented an algorithm for the classification of the weighing state of a railway wagon based on distance measurements
• Upgraded the main data pipeline architecture by implementing services for the de- duplication and re-ordering of incoming device messages using Kafka Streams

Research Assistant

ETH Zürich

• Lead the implementation of a distributed high-performance eigensolver with polynomial filtering
• Diagonalized Hessian matrices of metallic glass systems consisting of up to 4 Mio. atoms
• Implemented the first version of the eigensolver as part of my Master thesis

Software Engineer

localsearch (Swisscom Directories AG)

• Worked on the implementation of an online planning tool for our sales force
• Implemented an application for showcasing the number of sales per canton on an interactive map of Switzerland

Lecturer in Software Engineering (BSc Business Informatics)

HWZ University of Applied Sciences in Business Administration Zurich

• Responsible for the definition of the curriculum, the realization, and the delivery of the following lectures of the Business Informatics Bachelor:
  • Introduction to Programming (2nd Semester)
  • Object-Oriented Analysis (3rd Semester; handed over)
  • Programming Tools (3rd Semester)
  • Software Engineering Processes (5th semester)

Lecturer in Python for Data Analysis (CAS Machine Learning)

HWZ University of Applied Sciences in Business Administration Zurich

• Designed and delivered the Python introduction workshop of the Machine Learning CAS program across successive cohorts, covering NumPy arrays, reading and writing data, pandas data structures, aggregation and grouping, and data cleaning.

Course Instructor

ETH Zürich

• Lead a workshop on exam preparation strategies

Private Tutor

accaputo.ch (Freelance)

• Tutored students from all parts of the Swiss educational system in computer science, math, and physics
• Consulted college students during thesis projects in tasks involving programming and/or general math

Course Instructor

VSETH

• Created and thought a 4-day exam preparation course for the Computer Science II (252-0846-00L) lecture
• Received a very good evaluation by the attending students

Teaching Assistant

ETH Zürich

• Prepared and directed multiple exercise-specific lectures for the lectures Computer Science I (252-0845-00L), Computer Science II (252-0846-00L), and Numerical Methods for CSE (401-0663-00L)
• Corrected and graded exercises with feedback to ensure students understood the material

Course Instructor

VSETH

• Created and thought a 4-day exam preparation course for the Computer Science II (252-0846-00L) lecture

M.Sc. ETH in Computational Science and Engineering

ETH Zürich Computational Chemistry and Physics

• Thesis: Solving Large Scale Eigenvalue Problems in Amorphous Materials

B.Sc. ETH in Computational Science and Engineering

ETH Zürich Computational Physics

• Thesis: Efficient Calculation of the Wigner Potential in Crystal Systems Using the Ewald Method

B.Sc. FHO in Computer Science

HSR Rapperswil Software Engineering

• Thesis: 3D Robotic Engine

Vocational Education with an A Level Diploma in Systems Engineering

Berufsbildungszentrum Uster

Advanced English for Academic Purposes C1-C2

ETH Zürich

Didactic Instruction for the D-INFK Teaching Assistants

ETH Zürich

Member of the Board

Computational Science and Engineering Alumni Association, ETH Zürich

Tutor

Prestudy Events, ETH Zürich

Presenter

ETH Study Information Days, ETH Zürich