Sebastian Schaeffer
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Sebastian Schaeffer Email & Phone Number

Machine Learning Engineer at Caffeine
Location: Zurich, Zurich, Switzerland 9 work roles 3 schools
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✓ Verified May 2026 3 data sources Profile completeness 86%

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Current company
Role
Machine Learning Engineer
Location
Zurich, Zurich, Switzerland

Who is Sebastian Schaeffer? Overview

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Quick answer

Sebastian Schaeffer is listed as Machine Learning Engineer at Caffeine, based in Zurich, Zurich, Switzerland. AeroLeads shows a matched LinkedIn profile for Sebastian Schaeffer.

Sebastian Schaeffer previously worked as Software Engineer at Dfinity and Master Thesis at Cern. Sebastian Schaeffer holds Master Of Science - Msc, Computer Science And Management, Gpa: 1.0 (1-5, 1 Being Best) from Technische Universität Graz.

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Email format at Caffeine

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Caffeine

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Profile bio

About Sebastian Schaeffer

Sebastian Schaeffer is a Machine Learning Engineer at Caffeine. They is proficient in Latin and English.

Current workplace

Sebastian Schaeffer's current company

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Caffeine
Caffeine
Machine Learning Engineer
Zürich, ZH, CH
AeroLeads page
9 roles

Sebastian Schaeffer work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer

Zürich, ZH, CH

Software Engineer

Current

Zurich, Switzerland

Oct 2024 - Present

Master Thesis

Geneva, Switzerland

- Conducted research in Explainable AI (XAI) and Natural Language Processing (NLP), developing an AI summarization system using Llama2, integrated with an explanation mechanism based on the SBERT model, to produce transparent and efficient summaries of extensive scientific documents, thereby enhancing decision-making efficiency for professionals.

Sep 2023 - Feb 2024

Software Engineer

- Engineered a Java-based optimization resulting in a 50% reduction in API calls, significantly enhancing system efficiency and reliability.- Developed a Python program to visualize enterprise zone usage, which enabled stakeholders to identify underused resources.

Jul 2023 - Aug 2023

Software Engineer

Zurich, Switzerland

- Implemented a blockchain project at Sygnum Bank, connecting custodial wallets to decentralized applications (dApps) using Securosys APIs and WalletConnect, ensuring secure access with whitelisting, feature restrictions, and multi-party approval.

Jul 2022 - Sep 2022

Security Engineer

Sgs

- Executed in-depth penetration testing for a major corporate client's web application, identifying critical security vulnerabilities.

Aug 2021 - Sep 2021

Software Engineer

- Contributing to a free non-profit open source project at Graz University of Technology.- Conducted a comprehensive security assessment using the OWASP Application Security Verification Standard.

Jul 2020 - Dec 2020

Software Engineer

Sap

Vienna, Austria

- Developed a Visual Basic project with a graphical representation- Programmed Javascript chatbots

Jul 2019 - Aug 2019

Civil Service Officer

Bad Aussee, Styria, Austria

- Assisted individuals with mental disabilities in daily activities and lifestyle management.

Oct 2017 - Jun 2018
3 education records

Sebastian Schaeffer education

FAQ

Frequently asked questions about Sebastian Schaeffer

Quick answers generated from the profile data available on this page.

What company does Sebastian Schaeffer work for?

Sebastian Schaeffer works for Caffeine.

What is Sebastian Schaeffer's role at Caffeine?

Sebastian Schaeffer is listed as Machine Learning Engineer at Caffeine.

Where is Sebastian Schaeffer based?

Sebastian Schaeffer is based in Zurich, Zurich, Switzerland while working with Caffeine.

What companies has Sebastian Schaeffer worked for?

Sebastian Schaeffer has worked for Caffeine, Dfinity, Cern, Dynatrace, and Zühlke Group.

How can I contact Sebastian Schaeffer?

You can use AeroLeads to view verified contact signals for Sebastian Schaeffer at Caffeine, including work email, phone, and LinkedIn data when available.

What schools did Sebastian Schaeffer attend?

Sebastian Schaeffer holds Master Of Science - Msc, Computer Science And Management, Gpa: 1.0 (1-5, 1 Being Best) from Technische Universität Graz.

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