Nelson Jeanrenaud

I used to write code. Now I watch a robot do it.

Looking for a .NET / Industrial automation Software engineer role in Switzerland

Work

What I'm doing now

HEIG-VD · Institute of Industrial Automation · Yverdon-les-Bains Apr 2025 – Present

Software architect & full-stack developer

Architecting and building, in collaboration with Innosuisse and our industrial partner Techponics, the control software for an AI-optimized hydroponic lettuce installation at HEIG-VD's Institute of Industrial Automation. I work closely with automation engineers on the PLC code, interfacing with it over ADS communication. The project also includes a digital twin that runs thousands of machine cycles in a virtual environment to test and validate behaviour before it ever touches the real hardware. The stack: C# → ASP.NET Core → Blazor + WPF.

My past experiences

Abraxas Informatik AG · Morges Aug 2023 – Oct 2024

Software developer

Maintained and extended CARI, a large Java application used by Swiss road traffic offices (bureau des autos). Mostly legacy code: debugging, reviewing, and refactoring a long-lived codebase without breaking what already works.

HEIG-VD · Institute of Information & Communication Technology · Yverdon-les-Bains Aug 2023 – Oct 2024

Assistant to Prof. Marcel Graf

Assisted both the OOP (object-oriented programming) and Cloud Computing bachelor courses, helping students with object-oriented modelling — structuring code as objects that bundle data and behaviour — in Java, and cloud topics (AWS/GCP, Docker, Kubernetes, Terraform and Ansible).

Swiss Armed Forces · Maintenance School 43 · Thun Jul 2024 – Nov 2024

Communication diagnostician

Basic military training and maintenance, plus diagnosis of military radio communication equipment.

Education

Where I studied

HEIG-VD · Yverdon-les-Bains Class of 2023

Bachelor of Science in Computer Science

Bachelor's degree, capped with a thesis on machine learning for pit-stop decision modelling in Formula 1 (see Projects).

Projects

What I've built for myself

Formula 1 data analysis

Python · 2021 – 2024

Ran a blog where, each race weekend, I dove deep into the available data to find the how and why behind particular results, and to follow the improvements made to the cars across the season. For that I built tooling for telemetry and session analysis in Python, pulling race data and generating performance reports and charts.

Pit-stop decision modelling

B.Sc. thesis · 2023

Machine learning for the call to pit in Formula 1: gathering and preparing data, then exploring models (RF/NN/RNN) to capture the relationship between race strategy and situation data, with a focus on explainability (XAI), digging into why the model says what it says. Graded 5.6/6.

Tools