Alexander Eiselmayer, Ph.D.

Founding Engineer atTabflows

About Me

I'm a detail-oriented technology executive with extensive leadership experience expediting cloud transformation, AI-driven process improvement, and scalable software architecture for global enterprises. With proven expertise in driving cross-functional leadership, operational efficiency, and platform modernization across insurance technology, financial technology (fintech), and investment management, I leverage strong operations management skills and strategic approach to lead execution of high-impact technical innovation and business growth initiatives.

Currently, as Founding Engineer at Tabflows, I'm building the company's core product and technical foundation, creating AI-native workflows that help knowledge workers orchestrate complex tasks across the tools they already use. I translate product ideas into scalable cloud-native architectures, drive hands-on implementation, and help shape the engineering culture as the team grows.

My technical expertise spans cloud computing, data visualization, IT strategy execution, agile methodologies, UX/UI design, and big data artificial intelligence/machine learning (AI/ML) integration. I excel in project planning, software development life cycle (SDLC), resource management, frontend development, backend development, API design, full-stack development, program management, business strategy implementation, and cost optimization.

Professional Experience

Founding Engineer

Tabflows

Los Angeles, United States of America

October 2025 – Present

Chief Technology Officer

MK Holding GmbH & Co. KG

Munich, Germany

February 2024 – October 2025

Chief Technology Officer

EDUBAO GmbH

Munich, Germany

August 2022 – December 2023

Head of IT and Operations

Prio Partners GmbH

Zurich, Switzerland

January 2016 – July 2022

Education

2018 — 2023

Doctor of Science, Ph.D. in Computer Science

University of Zurich, Switzerland

  • Focus: Human-Computer Interaction
  • Thesis: Designing the right experiment right
2016 — 2018

Master of Science, Major in Information Systems

University of Zurich, Switzerland

  • Focus: Information Systems
  • Advanced studies in software architecture and systems design
2012 — 2016

Bachelor of Science, Major in Information Systems

Technical University of Munich, Germany

  • Foundation in computer science and information systems
  • Strong technical and analytical background

Publications

Ph.D. Dissertation

Designing the right experiment right. Interactive systems to support trade-off and sample size decisions in HCI experiment design

Alexander Eiselmayer

University of Zurich, Faculty of Economics, 2023

Conference paper

Argus: Interactive a priori Power Analysis

Xiaoyi Wang, Alexander Eiselmayer, Wendy E. Mackay, Kasper Hornbæk, Chat Wacharamanotham

VIS 2020, 2020

Doctoral Consortium

Supporting the Design and Analysis of HCI Experiments

Alexander Eiselmayer

CHI 2020, Hawai`i, US, 2020

Conference paperBest Paper Award (Top 1%)

Touchstone2: An Interactive Environment for Exploring Trade-offs in HCI Experiment Design

Alexander Eiselmayer, Chat Wacharamanotham, Michel Beaudouin-Lafon, Wendy E. Mackay

CHI 2019, Glasgow, UK, 2019

Skills

Program Management

JiraMS ProjectProject PlanningSDLCResource ManagementBusiness Strategy ImplementationCost Optimization

Frontend Development

TypeScriptReactAngularNext.jsReact NativeVue.jsHTMLCSSJavaScript

Backend Development

NestJSNode.jsPythonRJavaRESTful APIsSQLNoSQL

Cloud & DevOps

AWS S3AWS LambdaAWS ECSAWS EventBridgeAWS SQSAWS SNSAWS CognitoAWS CloudWatchCI/CD pipelinesDockerGitContainerizationDevOpsCloud ArchitectureScalability Engineering

AI & Data

AI/ML IntegrationLarge Language ModelsData VisualizationBig DataData AnalyticsETL ProcessesData GovernanceBusiness Intelligence

Leadership & Strategy

Agile MethodologiesCross-functional LeadershipUX/UI DesignUser-Centered DesignStrategic LeadershipTeam BuildingC-Level CommunicationsChange Management

Professional Certifications

AWS Certified AI Practitioner Badge

AWS Certified AI Practitioner

Amazon Web Services (AWS)

FoundationalIssued: 2025

Enables me to design and implement AI/ML solutions using AWS services for business automation. I can leverage generative AI and large language models to optimize processes and drive operational efficiency. This certification validates my ability to integrate advanced AI capabilities into scalable cloud architectures.