10.11.2025 aktualisiert
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100 % verfügbarFull-Stack AI Engineer and Data Science Expert
Zug, Schweiz
Weltweit
MSc in Data ScienceÜber mich
AI Solutions Architect with hands-on experience delivering end-to-end AI systems in finance and industry. I combine strong engineering (Python, AWS/Azure, Kubernetes) with business understanding to build solutions that get adopted.
Skills
JavascriptAPIsKünstliche IntelligenzAmazon Web ServicesAmazon S3ArchitekturComputer VisionAutomatisierungMicrosoft AzureBankingBash ShellBenchmarkingGeschäftsprozesseChange ManagementCloud ComputingQualitätsauditComputerprogrammierungBeratungInhaltsanalyseContinuous IntegrationInformation EngineeringETLDatenmodellCursor (Graphical User Interface Elements)Amazon DynamodbGithubPythonSachgüterproduktionGießereiVorbeugende InstandhaltungPrototypingTransformerSoftwareentwicklungSQLStakeholder ManagementSystemarchitekturTypescriptWorkflowsData ScienceOffice365ReactJSLarge Language ModelsPrompt EngineeringKredit-RisikenEinarbeitungGenerative AIFastapiPandasKubernetesMachine Learning OperationsRestful ApisTerraformDockerMicroservices
I specialize in designing and deploying production-grade AI systems end-to-end. My core expertise spans data Generative AI, software engineering, MLOps, and cloud infrastructure. I have developed LLM systems like: RAG, LLM-based workflows, agentic AI, document intelligence and more. I combine hands-on technical execution with the ability to map business processes and deliver solutions that create measurable impact.
Core Technical Skills
- Programming: Python (FastAPI, Pandas, LangChain/LlamaIndex), SQL, Bash, JavaScript/TypeScript, React, UI component design & integration
- AI/ML: LLMs (OpenAI, Azure OpenAI, OSS models, Anthropic, Gemini, LangChain, LlamaIndex), Agentic AI (LangGraph, Autogen), RAG systems, embedding search, fine-tuning, prompt engineering, transformers, computer vision (SAM, DINO)
- Data Engineering: ETL/ELT pipelines, data modeling, API integrations, OCR pipelines, feature stores
- MLOps & Cloud: AWS (S3, Lambda, Batch, DynamoDB, Athena), Azure (Functions, Container Apps, Azure Foundry, AKS), Docker, Kubernetes, GitHub Actions, CI/CD, Terraform
- Architecture & Design: Microservices, event-driven workflows, scalable REST APIs, vector DBs, workflow orchestration
- Developer Experience: Fluent with AI coding environments (Cursor, Copilot) to accelerate prototyping and delivery.
Professional Experience
- Founder & lead architect of an AI consulting and solutions studio (ETH Zurich spin-off, Microsoft for Startups).
- Delivered AI systems for banking (credit risk, document analysis, non-performing loan analytics), insurance benchmarking, manufacturing (quality inspection & predictive maintenance), and corporate back-office automation.
- Experience working directly with C-level stakeholders, product teams, and data science groups to define requirements, lead PoCs, deploy production solutions, and support change management and adoption.
What I Deliver
- Clear mapping of business workflows
- Feasible & scalable system architecture
- Working, maintainable code and cloud deployment
- Training, onboarding, and adoption support
Sprachen
DeutschgutEnglischverhandlungssicherItalienischMuttersprache
Projekthistorie
Founder and AI Solutions Architect leading the design and deployment of production-grade AI systems. Dynius is an official ETH Zurich spin-off focused on high-impact applications.
Co-teaching the BSc course Economics and Management with Prof. Alessandro Danovi. Responsible for lectures on internationalization strategy, student support, and exam design and evaluation.
Developed AI models for word prediction, autocorrection, and multilingual text input. Built the initial Typewise AI codebase from scratch and contributed to the core architecture of the keyboard app.