Manuel Buser

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AI Engineer with practical experience across data science, conversational AI, and cloud-based system integration. Skilled in developing and deploying end-to-end AI solutions that bridge technical innovation with real-world business impact. Experienced in machine learning, API development, and DevOps practices, with a focus on designing scalable, data-driven architectures that enhance automation and decision-making.

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Career Journey

Experience & Education

From banking to AI engineering — building intelligent systems that bridge technical innovation with real-world business impact.

Work Experience

Work Experience
August 2025 - Present (7 months)
Current

Conversational AI / DevOps Engineer

Helvetia Versicherungen Schweiz

Basel, Switzerland (Hybrid)

  • Conversational AI & Platform Engineering: Drive technical implementation of enterprise-scale AI voice agents on Parloa, managing 500,000+ calls/year (doubling through Helvetia–Baloise merger). Design complex conversation architectures, specialized Prompt Engineering, and RAG pipelines. Build automated testing infrastructures using simulation and evaluation agents to validate dialog flows and NLU performance at scale.
  • Cloud-Native Backend & DevOps: Develop scalable microservices (Java/Quarkus, Python) on OpenShift. Implement API interfaces and business logic as deterministic services. Manage full deployment lifecycle via GitOps-based CI/CD with ArgoCD. Integrate and manage API interfaces on central Integration Platform (HIP) using declarative YAML for standardized delivery.
  • Data Engineering & AI Analytics: Architect and operate cloud data pipelines using MongoDB and Azure to process conversation transcripts. Build LLM-based post-processing pipelines on Azure to extract structured KPIs. Co-developed PowerBI dashboards aggregating data from Webex, Salesforce, and transcript analysis for bot performance insights.
PythonJavaQuarkusLLMsRAGPrompt EngineeringMongoDBAzureOpenShiftArgoCDGitOpsPower BIParloa
Work Experience
October 2023 - July 2025

Data Scientist

Team Customer & Partner Data at Helvetia

Basel, Switzerland

  • Advanced from Working Student to Data Scientist, responsible for ensuring data quality of Helvetia's core systems
  • Planned and developed data quality dashboard prototype using SAS Enterprise Guide and SAS Visual Analytics
  • Created and maintained on-demand reporting for customer database and Salesforce UNO (CRM)
  • Designed automation solutions including address verification service with Swiss Post
  • Led development of customer duplicate-detection algorithm and automated merging process
  • Served as project manager, coordinating cross-functional teams
PythonSASSQLSalesforceETLData Warehouses
Work Experience
December 2018 - September 2023

Consultant Outbound / Intern

BLKB

Liestal, Switzerland

  • Held multiple positions including internship and client consulting roles
  • Gained foundational experience in banking, business processes, and client communication
  • Supported transition into data and AI roles

Education

Education
September 2024 - Present
Current

Computer Science (Machine Intelligence)

University of Basel - Department of Mathematics and Informatics

Basel, Switzerland

  • Master's program in Computer Science with focus on Machine Intelligence
Education
September 2021 - August 2024

Business Information Technology

FHNW

Basel, Switzerland

  • Bachelor Program in English at FHNW
Education
June 2021 - July 2021

English Language Exchange

EF Education First

London, UK

  • Language exchange as preparation for Bachelor Program
Education
August 2015 - July 2018

Swiss Federal Vocational Baccalaureate

kvBL

Liestal, Switzerland

  • Business school for obtaining the vocational baccalaureate