Aaron Studer - ML / Software Engineer

About

Who I am and what I do

Portrait of Aaron Studer — Aaron Studer, Switzerland

I work as a Machine Learning and Software Engineer at Eventfrog. My job is to design AI solutions and get them running on a live platform: fraud detection, chatbots and a growing set of AI services. I came into this from backend and data engineering, so I care about the pipeline, the deployment and the monitoring just as much as about the model itself.

Next to work I am finishing a Bachelor of Applied Science in Data Science at FHNW in Switzerland, at an 80% workload. It covers statistical modelling, machine learning and data engineering. Whatever the programme does not cover, I pick up from books and online courses in my own time.

The hours that are left go into bouldering, spikeball and handball. I also help organise events for my handball club.

End to end

I take a project from the problem statement through to the running service.

Built to run

A model counts once it serves real traffic and someone can operate it.

Small teams

Short paths, clear ownership and shipping together instead of in silos.

Experience

Where I have worked

Eleven years across DevOps, data platforms and, today, machine learning.

Eventfrog AG

ML / Software Engineer

February 2026 to Present

I work on the AI side of the Eventfrog platform. We are a small team and we take projects from the first idea to production, then keep operating them, so I am involved in every step: scoping the problem with stakeholders, preparing the data, building and evaluating the model, deploying it and watching it once it runs. Backend work is part of the job, because a model has to fit into a real service.

Fraud detection

Machine learning that spots fraudulent behaviour on the platform before it does damage.

Chatbots and assistants

Conversational AI that answers real user questions inside the product.

AI services

Further AI features built into the platform as services we can maintain.

MLOps

Training, deployment and monitoring set up so models can ship and be retrained reliably.

December 2024 to January 2026

Alpiq AG

Application Engineer, IT Corporate

I owned a set of business applications and helped internal stakeholders digitise their processes. That meant requirements analysis, customising applications and writing detailed specifications for enhancements. I worked closely with cross-functional teams and brought in solution proposals that fit both the technical reality and what the business needed.

January 2024 to December 2024

Swisscom AG

Consultant Data and AI

I processed data with Apache Kafka and NiFi and worked in agile teams as a DevSecOps engineer. I led client meetings, automated deployments and built highly secure systems on Kubernetes and OpenShift, including a good amount of work in the Swiss public sector.

April 2021 to December 2023

Swisscom AG

DevOps Engineer

Agile software development with .NET Core, React and TypeScript, next to a lot of work in Apache NiFi and Kafka: decoding and categorising data, enriching the relevant topics, running aggregations in Spark and enhancing the data with KSQL. I also held partial responsibility for EBM real-time sourcing.

August 2019 to April 2021

Swisscom AG

Junior DevOps Engineer

After the apprenticeship I grew into a DevOps engineering role inside a SAFe agile setup. I helped build a new project landscape on .NET and React while continuing to own Callback Data Record sourcing, which is where I got serious about database structuring, modelling and querying.

August 2015 to August 2019

Swisscom AG

Apprentice, Application Engineering

Four years of rotating through different jobs and projects. It started with SharePoint and frontend basics, moved on to JavaScript app development in a fully English speaking team, and ended in performance management, where the team built an application for the Swiss network.

Projects

What I build outside of work

Projects from my studies and from my own time, where I get to try things end to end.

Personal, ongoing

Home assistant bot

My own take on something like Alexa, built from scratch. Video models detect objects and people around the flat, and an LLM handles the conversation so it can actually speak back. A small robotics project is growing out of it, mostly because it is fun.

Computer vision
LLMs
Speech
Robotics

Bachelor thesis, finished

Autocompletion of event metadata

Encoder based state of the art transformers that read event descriptions and pull the metadata out automatically, so organisers do not have to fill in the fields by hand. This was my bachelor thesis and it is finished.

NLP
Transformers
Information extraction

Studies

Forecasting balancing energy prices

A time series study that used weather conditions, plant maintenance schedules, water flows and a few other drivers to predict the cost of balancing energy. Built with autoregressive methods, mainly SARIMA and SARIMAX.

Time series
SARIMA / SARIMAX
Forecasting
Energy

Studies

Vision based traffic monitoring

Object detection with YOLO models running on a Raspberry Pi. The interesting part was optimising the model for the hardware so that traffic could be monitored on a small device instead of a server.

YOLO
Object detection
Raspberry Pi
Edge inference

Studies, demographic challenge

Religion and voting behaviour in Switzerland

We looked at how the economy of the Swiss cantons developed and compared that against their religious background. The question we tried to answer was whether catholic and reformed cantons vote differently on economic proposals.

Data analysis
Statistics
Swiss open data

Studies, probability challenge

Rockfall risk on a Swiss road

A Monte Carlo simulation of the fatality rate on a road exposed to falling rocks. The goal was to work out whether the remaining risk was low enough to reopen the road to traffic.

Monte Carlo
Probability
Risk modelling

Education

Studying while shipping

Sept 2022 to Present

University of Applied Sciences Northwestern Switzerland

Bachelor of Applied Science in Data Science

A foundation in statistical modelling, machine learning and data engineering: analysis and linear algebra with ML applications in Python using Pandas and NumPy, time series analysis and forecasting with ARMA and SARIMAX models, and database design across SQL, NoSQL and time series databases. I did all of it next to an 80% workload.

August 2019 to August 2021

Vocational Qualification, GIB Bern

Berufsmaturität

A broad general education covering mathematics, English, French, history and the natural sciences. This is the qualification that opened the door to studying at university level.

Skills

What I work with

Grouped by area, instead of one long list.

Machine Learning and AI

Python
Pandas
NumPy
Transformers
Computer vision / YOLO
Time series (ARMA, SARIMAX)
LLMs and chatbots
MLOps
R

Languages

Python
JavaScript
TypeScript
SQL
Java
C#
PHP
HTML5

Data and streaming

Apache Kafka
Apache NiFi
Apache Spark
Apache Airflow
KSQL

Databases

MySQL
MariaDB
ClickHouse
NoSQL
Time series DBs

Backend and platform

.NET / .NET Core
Node.js
React
Kubernetes
OpenShift
AWS
CI/CD automation
Raspberry Pi

Ways of working

Agile development
SAFe
DevSecOps
Atlassian tooling
Stakeholder work
Teamwork

Growth

What I am working on

A skills assessment pointed at five areas. I would rather name them than hide them.

Communication

Active listening, conflict resolution, business presentations and speaking up clearly.

Customer focus

Putting customer needs first, resolving complaints and helping colleagues deliver well.

Managing others

Leadership, performance management and team building for a productive working environment.

Influence and persuasion

Making a case well, handling disagreement gracefully and negotiating outcomes that work for everyone.

Commercial awareness

Understanding the business environment, the economic impact of my work and where our advantage comes from.

I work on these through training, practice and honest self assessment, the same way I approach anything technical.

Contact

Get in touch

An ML project, a role, or a question about something I have worked on. Send a message and I will get back to you.

LinkedIn GitHub Xing