Nelson Pinheiro

About Me

Digital Crop Scientist & Machine Learning Engineer

I'm a bridge candidate—combining deep domain expertise in plant physiology, soil dynamics, and agronomy with modern software engineering, IoT hardware, and machine learning. I build things like GPU-accelerated synthetic crop simulations, ESP32-based environmental IoT monitors, and Random Forest pipelines for non-invasive LiDAR/NIR soil sensing.

I currently work as a research assistant at the Agrobotics Group at Uni Bonn, developing computer vision and simulation tools for agricultural robotics. I’m also part of the team at DynamoBot, an AgTech startup building autonomous weeding robots.

Traditional agricultural data collection is destructive, slow, and expensive. By combining machine learning, computer vision, and geospatial analysis with agronomy, I want to build scalable, real-time solutions for precision agriculture and climate resilience.

Experience

Sales & Marketing

DynamoBot GmbH, Bonn | Nov 2025 - Present

AgTech startup developing autonomous weeding robots (WeWeed, WeSee, WeMan). Supporting go-to-market strategy and customer engagement.

Research Assistant (Wissenschaftliche Hilfskraft)

Agrobotics Group, University of Bonn | Apr 2025 - Present

Developing computer vision pipelines and 3D plant simulation tools for agricultural robotics research.

Education

M.Sc. Crop Science (Digital Focus)

University of Bonn | Oct 2024 - Present

Thesis: Under-soil crop detection using microwave sensing for harvester height mapping.

B.Sc. Agricultural Science (Plant Science Focus)

University of Bonn | Oct 2020 - Mar 2024

Thesis: Characterisation of the role of cation transporters in plant abiotic stress tolerance.

Vocational Training: Bank Clerk (Bankkaufmann)

KfW Bankengruppe, Bonn | Aug 2017 - Feb 2020

Departments: Corporate Finance, Environmental Finance, Credit Risk Management, Education Finance.

How I Work

Scientific First

I start with the science. Understanding the biological system is prerequisite to modeling it effectively.

Iterative Development

I build incrementally, validating at each step. Complex systems are understood through simple models first.

Reproducibility by Default

Every analysis is version-controlled and documented. If I can’t reproduce it, it’s not done.

Full-Stack Thinking

From embedded sensors to cloud dashboards, I build complete systems that work end-to-end.

Domain Expertise

Plant PhysiologySoil DynamicsCrop PhenotypingExperimental DesignIntercropping SystemsPrecision Agriculture

AI & Software Engineering

PythonC++PyTorchscikit-learnRandom ForestPCANext.jsTypeScriptDockerGit

Geospatial & Hardware

QGISRasterioLiDAR ProcessingMultispectral UAVNIR SpectroscopyESP32ArduinoEmbedded C

Languages (Human)

German - Native

English - C1

French - A2

Portuguese - A1

Outside Work

Tinkering & engineering, strength training, cooking, gaming, and spending time in nature.

Currently seeking

PhD positions or industry roles in AgTech, biotech, or research institutions where I can apply computational methods to agricultural challenges.

Let's Work Together

I'm actively seeking opportunities in AgTech, Biotech, or research institutions. Whether it's a PhD position or an industry role, I'm ready to contribute.