Severin Lindenmann, Data & AI Engineer in Zurich

Severin Lindenmann

Data & AI Engineer · Zurich, Switzerland

I build data platforms on Databricks and Azure, and take AI applications from demo to production. Lately most of my code is written by agents; I build orch core to keep control of that. And when I travel, Fernscout writes along.

hello@severin.io · LinkedIn · GitHub

Databricks Partner Program — Solutions Architect Champion Badge
Databricks Solutions Architect Champion
Databricks Partner Program · Data Engineering, Agentic DevOps, MLOps

About

For over ten years I have worked where data, software and operations meet — from a Swiss federal apprenticeship in IT, through a degree in Data Science and Economics at Lucerne University of Applied Sciences, to my current work as a Data & DevOps Engineer in Zurich.

What interests me is the part after the prototype. A pipeline that runs in a demo notebook is not a data platform. An agent that impresses in a workshop is not yet an application you can operate. Getting there — governance, testing, cost control, monitoring, a clean handover to a team — is the part I find most interesting.

What I'm building

orch coreFor work

Coding agents do the work, every decision stays yours: tickets, evidence and gates you sign.

FernscoutHobby project

I love to travel. An agentic travel journal for the people at home: I write a day myself or hand it to an agent, and afterwards it becomes a photobook.

What I work on

Data Platforms & Lakehouse

Central data platforms on Azure Databricks: ingestion, transformation, modelling, governance. Delta Lake and Unity Catalog, Spark and SQL workloads, custom Python frameworks for metadata management.

AI Applications & Agents in Production

The step from prototype to operable application: evaluation and regression testing for LLM systems, monitoring, cost control, access control. Especially in regulated environments, where “usually works” is not good enough.

DevOps & Delivery

CI/CD for data and ML workloads, infrastructure as code, test and deployment pipelines. Increasingly agentic: coding agents for reviews, tests, migrations and documentation — agentic DevOps as delivery machinery, not as a buzzword. Plus establishing development processes and setting a team up so releases become boring.

Posts

What is an AI factory?

The definition, the six levels from autocomplete to dark factory, and what it takes to move up.

orch: ticket-based work with coding agents

orch: signed approval gates, evidence instead of claims, and the tools I use every day. The product: orch core.

All posts

Certifications & Degrees

Databricks Certified Data Engineer Professional Badge
Certified Data Engineer Professional
Databricks · 2025
Microsoft Certified Associate Badge
Fabric Analytics Engineer
Microsoft · 2025
Microsoft Certified Fundamentals Badge
Azure Fundamentals
Microsoft · 2025
Microsoft Certified Associate Badge
Machine Learning Operations Engineer
Microsoft · 2026
GitHub Foundations Badge
GitHub Foundations
GitHub · 2025
IREB Logo
CPRE — Requirements Engineering
IREB · Future Network · 2025
Lucerne University of Applied Sciences Logo
CAS Data Engineering
Lucerne University of Applied Sciences · 2025
Hochschule Luzern Logo
BSc Mobility, Data Science & Economics
Lucerne University of Applied Sciences · 2024
Swiss Federal Diploma
IT Systems Engineering EFZ
Swiss Federal Diploma · 2017
Swiss Vocational Baccalaureate
Technical Vocational Baccalaureate
Berufsschule Aarau · 2020

Experience

Over ten years across data, software and operations — from the data centre through data warehousing to the Databricks platform. The part-time roles from 2022–2025 ran alongside part-time studies at Lucerne University of Applied Sciences.

  1. since Sep 2025
    Data & DevOps Engineer / Consultant — ALTYCA, Zurich
    Central data platforms on Azure Databricks, CI/CD automation, migration from Qlik to Power BI, establishing development processes and tooling.
  2. Jan–Sep 2025
    Data Engineer — b.telligent
    Data warehouse solutions and ETL pipelines with Databricks, Snowflake, Azure and Microsoft Fabric.
  3. 2024–2025
    CTO & Full Stack Developer — Voicy AG Teilzeit
    Voice-first web app for organisational self-reflection with AI-based data analysis.
  4. 2023–2025
    CTO & Data Scientist — Layer.swiss Teilzeit
    Building Layer.swiss, a spin-off of Oberholzer Digital, for data-driven business solutions in SME marketing.
  5. 2022–2024
    Consultant — Oberholzer Digital Teilzeit
    Data-driven strategies and web analytics stacks for clients.
  6. 2020–2022
    Application Manager — Screenimage Systems AG
    Implementation of digital signage software and automation solutions.
  7. 2013–2020
    System Engineer — Bechtle Schweiz
    Operating and developing systems and cloud services in the data centre; Swiss federal apprenticeship in IT systems engineering (EFZ).

Technologies

Data
DatabricksDelta LakeUnity CatalogSparkAzureMicrosoft FabricSnowflakeBigQueryPostgreSQLAirbyteSupersetPower BI
Languages
PythonSQLTypeScriptJavaScriptShell
AI
OpenAIAnthropicAzure AIAgent-FrameworksAgentic WorkflowsAgentic DevOpsMCPRAGEvaluation & Monitoring
DevOps
GitGitHub ActionsGitLabBitbucketJenkinsDockerGoogle CloudCI/CDInfrastructure as CodeServerless
Web
ReactNext.jsFastAPINode.js

Projects

Personal projects alongside work — where I try out whatever is occupying me technically, and learn fastest. Code and further experiments live on GitHub.

orch core — let coding agents do the work, keep every decision yours

Coding agents · Signed approvals · Desktop & iPhone · Source-available

Every piece of agent work is a ticket with three gates: requirements, plan and verdict. A person signs each one with a fingerprint or their phone, so no agent can sign; the verdict signs the exact commit the evidence belongs to. Mission Control, an iPhone app, and AI Factory for work that runs inside limits you signed. Free for noncommercial use (PolyForm Noncommercial 1.0.0). → severin.io/orch-core · GitHub

Fernscout — a self-hosted travel journal

Next.js · TypeScript · AI agents · Open source

An open-source travel journal you host yourself: the place, the route, the photographs and what it cost, written up each day in your own studio — with your own agent or the built-in assistant as an optional second way in. Family and friends read along in a browser. Everything stays JSON documents and photographs in a folder you own. → fernscout.ch · GitHub

HFT Trading on Polymarket & Hyperliquid

Python · Low latency · Prediction markets · Perpetual futures

Custom trading infrastructure for high-frequency strategies on Polymarket and Hyperliquid: real-time market data ingestion, order execution under tight latency budgets, risk limits and end-to-end monitoring. A testbed for what a system looks like when it has to run unattended around the clock.

Swiss AI Weeks — Banking Client Simulation

Python · Data simulation · Financial sector

Synthetic banking datasets and personas for testing AI systems for fraud detection and customer analytics under realistic conditions. Scenario engine for configurable customer behaviour. → GitHub

Contract Generator

AI · Swiss & German law · Document workflows

AI-based platform for producing legally valid contracts — encrypted, with digital signature. For me primarily a study of what an AI application needs in order to actually be operated in a legally sensitive environment: traceable generation, clean templates, auditability.

LoRa IoT — Sailboat Sensor

IoT · LoRa · Hardware

Self-built low-power sensor for GPS, temperature and humidity, with live tracking over LoRa and a web dashboard.

Contact

Building a data platform, or working on getting AI applications into production? I am always glad to talk shop — no particular occasion needed.

hello@severin.io LinkedIn GitHub

Zurich, Switzerland · Usually replies within a day or two.