About Me
I'm a passionate Data Scientist and Machine Learning Engineer with 5+ years of experience transforming complex data into intelligent AI systems and delivering cutting-edge solutions across banking, public administration, and technology companies.
My expertise spans the entire ML/AI pipeline — from data analysis and model development to deploying production-ready systems. I specialize in RAG architectures, LLM fine-tuning, recommender systems, computer vision, and NLP. I have strong software engineering skills that enable me to build scalable, enterprise-grade AI applications.
I excel at bridging the gap between cutting-edge AI research and real-world business applications, with experience in solution architecture and leading ML projects from concept to production.
Data Science & Analytics
Transforming raw data into actionable insights through advanced statistical analysis and ML techniques.
AI & Machine Learning
Developing RAG systems, LLM fine-tuning, and intelligent applications for enterprise use cases.
ML Engineering
Building production-ready ML pipelines and deploying scalable AI systems in enterprise environments.
DevOps & MLOps
Implementing CI/CD pipelines, containerization with Docker, and ML model deployment strategies.
Skills & Expertise
MLTechnical Skills
DSTools & Technologies
AISoft Skills
- Problem Solving & Critical Thinking
- Communication & Data Storytelling
- Team Collaboration
- Project Management
- Adaptability & Continuous Learning
- Business Acumen
Work Experience
Senior Machine Learning Engineer / Solution Architect
Raiffeisen Schweiz Genossenschaft
- ▹Supported development of AI RAG Foundation and implemented first RAG MVP
- ▹Developed ReportGenie: Smart Financial Report Compilation system using LLMs
- ▹Implemented evaluation pipelines, citation features, and hyperparameter optimization
- ▹Solution architecture for enterprise AI systems
Senior Machine Learning Engineer
Öffentliche Verwaltung (NDA Project)
- ▹Designed and implemented RAG architecture for sensitive data handling
- ▹Fine-tuned open-source LLMs for domain-specific applications
- ▹Built chatbot frontend with streaming communication
- ▹Implemented hybrid retrieval and reranking with Elasticsearch
Senior Software Engineer (Full-Stack)
BANK-now AG
- ▹Led frontend and backend development for B2C customer platform
- ▹Architected microservices using Spring Boot, Java, and Kotlin
- ▹Implemented JWT-based authentication and integrated with ti&m channel suite
- ▹Served as Epic Lead for major feature development
Data Scientist / ML Engineer
ABIZ Hochschule Luzern
- ▹Developed sequential recommender system for 1M+ customers using transformer-based deep learning
- ▹Implemented food trend detection in social media streams with NLP
- ▹Created pose estimation system for fencing movement analysis
- ▹Applied contrastive learning to prevent representation degeneration
Machine Learning Engineer / Software Engineer
Schindler Group
- ▹Designed and developed global web application for elevator control software testing
- ▹Implemented JWT-based authentication via Active Directory
- ▹Built ML pipeline for predicting temperature-related elevator failures
- ▹End-to-end testing and database design
Featured Projects
Explore my portfolio of cutting-edge projects spanning AI/ML, full-stack development, and innovative solutions that have delivered measurable impact for leading organizations.
AI RAG Foundation
Developed AI RAG Foundation with evaluation pipeline, citation features, and hyperparameter optimization.
ReportGenie
Smart Financial Report Compilation system using LLMs for automated business report generation.
On-Premise RAG Chatbot
Secure on-premise RAG chatbot for sensitive government data with fine-tuned LLMs (NDA Project).
Sequential Recommender System
Next purchase prediction system for 1M+ customers using transformer-based models and contrastive learning.
BANK-now B2C Platform
Modern banking customer platform with microservices architecture and React frontend.
Food Trend Detection
ML application for detecting food trends and novelties from social media streams using NLP.
Fencing Movement Analysis
Computer vision system for analyzing and correcting fencing movements using pose estimation.
Elevator Test Automation
Global web application for elevator control software test automation with JWT authentication.
Predictive Maintenance System
ML pipeline for predicting temperature-related elevator door failures using log message analysis.
HSLU Mobile Apps
Native Android and iOS mobile applications for university operations and student services.
Education & Certifications
Education
Master of Science (MSc) in Engineering
Hochschule Luzern
Profil Data Science mit Fokus Machine Learning. Advanced studies in machine learning algorithms, deep learning, data analytics, and AI system design.
Key Courses:
Bachelor of Science (BSc) in Computer Science
Hochschule Luzern
Major in Artificial Intelligence & Visual Computing. Comprehensive foundation in computer science with specialization in AI and computer vision technologies.
Key Courses:
Certifications
Google Professional Data Engineer
Google Cloud
AWS Certified Machine Learning - Specialty
Amazon Web Services
TensorFlow Developer Certificate
Deep Learning Specialization
DeepLearning.AI
Get In Touch
Interested in collaborating or have a project in mind? Feel free to reach out!
Availability
Currently in a full-time position, but open to discussing exciting opportunities in AI/ML and data science.
Download Resume